Abstract
In this study, we investigate the nonlinear dynamical behavior of a one-dimensional linear piecewise-smooth discontinuous (LPSD) map with a negative slope, motivated by its occurrence in systems exhibiting discontinuities, such as power electronic converters. The objective of the proposed research is to develop an analytical approach. Analytical conditions are derived for the existence of stable period-1 and period-2 orbits within the third quadrant of the parameter space defined by slope coefficients and . The coexistence of multiple attractors is demonstrated. We also show that a novel class of orbits exists in which both points lie entirely in either the left or right domain. These orbits are shown to eventually exhibit periodic behavior, and a closed-form expression is derived to compute the number of iterations required for a trajectory to converge to such orbits. This method also enhances the ease of analyzing system stability by mapping the state–variable dynamics using a non-smooth discontinuous map. The analytical findings are validated using bifurcation diagrams, cobweb plots, and basin of attraction visualizations.
Keywords:
border collision bifurcation; piecewise smooth map; discontinuous map; chaos; bifurcations analysis MSC:
37G15
1. Introduction
Piecewise-smooth (PWS) systems have become of interest in recent decades for their dynamics associated with a wide range of applications in engineering, economics, biology, physics, and other fields. There are numerous practical systems that are governed by the dynamics of piecewise smooth systems. Some of them are DC motor drives, switching circuits, power systems [,,,,,], pulses width modulators [,], Tantalus and impact oscillators [,], hybrid systems, and in financial markets [,,,]. The interest in piecewise smooth systems is due to a special bifurcation phenomenon that occurs only in non-smooth dynamical systems. This is termed the border collision bifurcation (BCB) [] and was first reported by M. Feigin []. There is a large body of work on smooth systems [,,]. For more than a decade, the focus has been on piecewise smooth discontinuous maps. The results for one-dimensional maps [,,], two-dimensional maps [,], three-dimensional maps [,], n-dimensional maps [], linear discontinuous maps as well as co-dimension maps [,] have been reported by various authors.
The PWS discontinuous maps must be analyzed, as there is a wide range of phenomena that can occur; some are stable and unstable periodic orbits, which are admissible or non-admissible and converge to unstable periodic or leading to chaotic orbits []. Furthermore, atypical orbits are discussed in []. The stable periodic orbits are structured in a particular manner in 1D piecewise smooth discontinuous maps which constitute period adding cascades []. BCB curves are analyzed numerically, analytically, or by simplified method, i.e., a map replacement technique proposed by Leonav [,,]. The approach is then simplified and extended to discuss the analytical results and characterization of stable [], unstable [], and periodic orbits of the 1D map. This work is helpful in knowing the exact number of distinct periodic orbits at a given cardinality. In the previous work, slopes in the map were assumed to be positive and respective results are proven.
In power electronics, non-smooth maps are particularly relevant for analyzing switched-mode converters (viz. buck, boost, and hybrid inverters) that operate with discontinuous control laws, such as pulse-width modulation (PWM) or hysteresis-based switching [,,]. For instance, the dynamics of grid-tied inverters under maximum power point tracking (MPPT) are often demonstrated as linear piecewise-smooth discontinuous (LPSD) maps due to abrupt transitions between operating modes [,]. Recent studies have leveraged PWS theory to predict chaotic oscillations and stabilize DC–DC converters in photovoltaic (PV) systems, while demonstrating its utility in mitigating subharmonic instabilities in wind energy inverters [,,]. Although significant progress has been made in the theoretical and applied analysis of PWS maps, a critical gap remains in leveraging this framework for the sustainable design of power converters, particularly in regimes characterized by negative slopes, which are commonly encountered in applications such as bidirectional power flow in battery-integrated systems. The existing body of work predominantly addresses positive-slope dynamics, while the nonlinear behavior of negative-slope LPSD maps remains comparatively underexplored, despite their relevance in systems involving regenerative braking and grid-following inverters. Furthermore, analytical tools for the rapid stability assessment of such maps under disturbances remain limited. Atypical orbit types—such as continuum period-2 solutions—are not well characterized.
In the design of power electronic converters, system parameters—such as input voltage, inductor, or capacitor value, and load range—are typically selected to ensure stable operation and avoid undesirable behaviors like sub-harmonic oscillations or chaotic dynamics. However, determining the exact regions in the parameter space where these nonlinear phenomena emerge remains a challenge. Such regions are often identified through empirical methods, including laboratory experiments or detailed time-domain simulations. Bifurcation theory offers a systematic and analytical framework for addressing this issue by elaborating the boundaries of stable periodic operation, particularly the period-1 regime. This is achieved by constructing a discontinuous map, which involves sampling the system state at discrete intervals synchronized with the switching clock. The stability of period-1 orbit is maintained as long as the eigenvalues of the associated return map lie within the unit circle in the complex plane. This paper presents a PWS map resembling the mathematical model of non-smooth systems. In this paper, we carry out a detailed analysis of stable and unstable periodic orbits that can appear in 1D piecewise smooth discontinuous maps when slopes in the map are negative, by focusing on phenomena which are new and interesting. The main objective of the paper is to give assertive mathematical insights into the 1D PWS map, which has not been done previously. Furthermore, the proposed approach will help in designing the sustainable power converters that can operate under the dynamic conditions.
This paper is organized as follows. In Section 2, one-dimensional map definition and related terms are provided. Section 3 reviews region P, and the results are discussed. Also, some typical phenomena for particular parameter boundary values () are considered in Section 4, which have not been discussed earlier in the analysis using numerical simulations. Furthermore, Section 5, Section 6, Section 7 and Section 8 discuss the results and analyses of other boundary line and unstable region cases. The analyzed work is summarized in Section 9.
2. Definition of the 1- Map
The 1-D linear piecewise-smooth discontinuous map is []:
Figure 1.
General one-dimensional map with , positive ℓ and .
Here, ‘a’, ‘b’ and ‘’ are parameters, whlie jump discontinuity is denoted by ‘ℓ’. The map has (the closed left half plane) and (the open right half plane). Given a particular sequence of points through which the system evolves, one can convert this into a sequence of and by indicating which of the two sets ( or ) the each point belongs to. Clearly, a periodic orbit corresponds to a string and that repeats indefinitely. We call this repeating string, a pattern, and denote it by . The length of the string is denoted by and gives the number of symbols in the pattern, i.e., the period of the orbit. denotes the interval of the parameter for which pattern exists. We denote the sum of geometric series by . The basic notions of 1-D PWS map are discussed in the literature [,].
The parameters ‘a’ and ‘b’ can take either positive or negative values, and they divide the -plane into four quadrants, as depicted in Figure 2 and characterized in []. Stable–unstable periodic orbits and chaotic orbits are discussed in detail for quadrants for which a and b are both positive values [,]. Results based on different parameter values are illustrated in [], where it is shown that the dynamics of the attractor and Poincaré rotation on the unit circle behave alike. Furthermore, conditions on the parameters are obtained that exhibit the topological attractor. In this work, we make an attempt to investigate all possible orbits and characterize the map for the quadrant in which both parameters have negative values. The quadrant III is again subdivided into four regions and three boundary cases, based on values of a and b as follows. For region P, , region Q takes . Previous work has shown that regions R and S are equivalent, where one parameter belongs to and the other is less than and vice versa. The boundaries , and boundary point are analyzed in this work.
Figure 2.
The parameter -plane with four quadrants.
3. Region
In this region, the parameters a and b both are in the range of , so the slope of the map is always less than 1. For this region, we show that a stable period-2 orbit coexists with a stable fixed point. All the possible scenarios with positive ℓ and are depicted in Figure 3.
Figure 3.
Graph of map for and .
3.1. Scenario :
For , from the map it is clear that there exists a stable fixed point in the right-half plane. The location of the fixed point can be obtained from map (1) as,
It is observed in Figure 3a. In this scenario, every point in will immediately move to under the action of map (1); furthermore, every point in will eventually move towards . Therefore, any point will converge to . Thus, is a global attractor.
3.2. Scenario :
When , there exists one stable fixed point in the left half-plane as shown in Figure 3b, given by,
This is also a global attractor.
3.3. Scenario :
For , there are two stable fixed points on either side of the discontinuity, as shown in Figure 3c. The basin of attraction (BoA) for these two fixed points is shown in Figure 4a. The region of convergence for when is given by ranges:
and .
Figure 4.
Basin of attraction of region and bifurcation diagram for region . (a) With , , , at and at . (b) With and , and .
For the range for BoA is given as,
Consequently, any other than the above range will attract towards . Therefore, there is no possibility of orbits.
Figure 4b shows the bifurcation diagram for scenarios 1, 2 and 3 of region P. The preliminary investigation is validated by this diagram. From the above discussion, it is clear that there is no possibility of periodic orbits in any of the three scenarios.
Now, consider a negative length of discontinuity, , and the corresponding maps are shown in Figure 5.
Figure 5.
Graph of map for and .
3.4. Scenario :
When , there exists a stable fixed point in the left half-plane for that exhibits periodic orbits except for this range. The range of these periodic cycles is computed as follows:
3.5. Scenario :
For , there exists one stable fixed point in the right half-plane for and periodic orbits are present with the range given by (2) elsewhere.
3.6. Scenario :
For , there are no fixed points, but this case is significant in characterizing and analyzing the systems.
The scenario with no fixed points (scenario ) is analyzed as it is considered the most interesting among the six scenarios listed above, given that it contains no fixed point.
3.7. Analysis
In this section, we show that periodic orbits of any period exist. Furthermore, we provide a complete characterization of these orbits with respect to distinct patterns that they exhibit and their ranges of existence. Orbits of period-n can have various distinct patterns of length n. The paper [] demonstrated the same using a different approach that only requires the application of map (1). For scenario , the cobweb plot shows that any point in the space will repeat and form a periodic orbit as shown in Figure 6.
Figure 6.
Cobweb plot for scenario .
Lemma 1.
In scenario P.6, no admissible pattern other than period-2 orbit exists, i.e., is the only admissible pattern for in region P.
Proof.
Let us start assuming that the pattern is . Using map (1), the inequalities are
Considering without loss of generality, this gives as
Similarly, putting in , gives
Thus, the range of existence is,
To show that this pattern is admissible,
Cross multiplying and simplifying, we get This is true . The same is verified from the cobweb plot shown in Figure 6. On the contrary, a pattern other than gives . □
Corollary 1.
Proof.
From Lemma 1, it is proved that orbit is the only admissible pattern in scenario . Any , we have
Similarly, it is calculated that, for , we get and . Therefore, the interval is not invariant or any repelled this interval and forms a period-2 orbit with repeating points at
Thus, the corollary is proved. □
Example 1.
For , then and periodic orbit points shown in Figure 6.
Lemma 2.
In scenarios and , an admissible pattern contains a period-2 orbit and a fixed point that coexist.
Proof.
In scenario , range of for a fixed point is as and has to be less than 0. In scenario , range of for a fixed point is as has to be greater than 0 and . In scenario , when and . This is a non-empty intersection of the range of , illustrated in Figure 7. □
Figure 7.
Range of existence for periodic orbit and stable fixed points corresponding to pattern and or the parameter line when they are overlapping.
Example 2.
For gives . The corresponding plot is shown in Figure 8.
Figure 8.
Intersection of range of in to cases.
4. Boundary Point
This is a very special case, as it is the boundary point for all regions and lines.
In this case, and three scenarios are observed for each with and .
4.1. Scenario :
For , from the map it is clear that there exists a stable fixed point in the right-half plane. The location of the fixed point can be obtained from map (1) as
It is a stable attractor, only for points , where is a whole number, and the remaining points form orbits of period-2 of type .
4.2. Scenario :
For , one stable fixed point in the left half-plane given by is present and is a stable attractor, only for points . All other initial points form period-2 orbits of type .
4.3. Scenario :
For , there exist two stable fixed points on either side of the discontinuity, as shown in Figure 9. Fixed points and are stable attractor only for points and , respectively.
Figure 9.
Graph of map for boundary point O, i.e., for and .
4.4. Scenario :
For , there exists a stable fixed point and points , form period-2 orbit. All other points move away and form unstable orbits.
4.5. Scenario :
For , there are no fixed points, and any initial point diverges to .
4.6. Scenario :
For , there exists a stable fixed point and points in form periodic orbit, and all other points except for this range lead to instability.
4.7. Analysis
For
4.7.1.
Proposition 1.
The boundary point O with a positive length of discontinuity; only orbits are admissible when .
Proof.
With both positive, there exists a fixed point in given by , for , .
Since the magnitudes of slopes of a and b are equal to 1, any keeps oscillating around the . A detailed analysis is given below considering all possible ranges in accordance with .
Orbits for Different Initial Conditions
Using map (4), the following analysis is carried out,
Figure 10.
Cobweb plot for with different initial conditions.
Number of Iterations
The number of iterations or steps required to go into periodic orbit is calculated as follows, for :
Consider , where
Here, it is a period-2 orbit of type with fixed points at
and it takes steps to become periodic. In the aforementioned examples and takes 2nd and 6th steps, respectively, to enter the orbit.
Consider , where
Thus, it is a period-2 orbit of type with fixed points at
and it becomes periodic after iterations. For it becomes periodic after 4th iteration i.e., 5th iteration is in periodic orbit. □
4.7.2.
Proposition 2.
In boundary point O with and , only orbits exists.
Proof.
The fixed point in this scenario () is for , .
Similar to the proof of Proposition 1, any will form a period-2 orbit with both periodic points being negative, forming orbit. For different , the detailed analysis, including the number of iterations required to go into orbit, is illustrated below.
Orbits for Different Initial Conditions
Using (4) for the following analysis,
Figure 11.
Cobweb plot for with different initial conditions.
Number of Iterations
The number of iterations or steps required to go into periodic orbit is calculated as follows for :
Consider, , where
Thus, there is a period-2 orbit with fixed points at ; after iterations it becomes periodic. Applying this to and , the map dynamics goes into periodicity after 0th and 4th iterations, respectively.
Consider, , where
Thus, a period-2 orbit of type exists with fixed points at and it becomes periodic after iterations. For , , so after 3rd iteration it goes into orbit. □
4.7.3.
Proposition 3.
The boundary point O with and exhibits as well as orbits.
Proof.
The map (4) has two fixed points with the conditions of and . Here, for any based on Propositions 1 & 2, only either or orbits are possible and are proved in the below analysis.
Orbits and Number of Iterations
Map (4) is used for the following analysis,
:
Consider, , where
- 1.
- Now, if , thenThus, forming periodic orbit with fixed points atit becomes periodic after steps. For example, gives and goes into orbit after three iterations.
- 2.
- Now, if , thenand.Thus, it forms a periodic orbit with fixed points atand it becomes periodic after iterations. Consider that gives and forms orbit after six iterations.
These cases are demonstrated in Figure 12.
Figure 12.
Occurrence of period-2 orbits of type and for different .
:
Consider , where
- 1.
- Now, if , thenThus. there will be periodic orbit with fixed points atand it becomes periodic after steps. Let , then , so it goes into a periodic orbit after two steps.
- 2.
- Now if , thenand.Thus, it forms periodic orbit with fixed points at and it becomes periodic after iterations. Say , then , so it forms orbit after five steps. These cases are shown in the Figure 13.
Figure 13. Occurrence of period-2 orbits of type and for different .
□
Lemma 3.
The only admissible patterns for the boundary point O scenario with positive length of discontinuity (ℓ) are or .
Proof.
The boundary point scenario has a magnitude of both slopes () equal to one, so for any fixed point (), the map dynamics takes any initial point into oscillatory mode, specifically a period-2 orbit. Based on the values of parameters , these period-2 oscillations go into or patterns. These period-2 orbits are neither asymptotically stable nor unstable. Hence, this scenario is equivalent to period-2, which is explained in [] in the boundary point These admissible orbits are proved in Propositions 1–3 by considering all possible variations. □
Lemma 4.
Under the action of map (4), any initial point moves towards infinity except a certain range of initial conditions depending on μ, when .
Proof.
Any fixed point () under the action of map (4) with acts similarly to an unstable fixed point, as both slopes of the map go away from the fixed points. Moreover, there is no common portion of slopes during the next iterations, as can be seen in Figure 9d–f. The detailed analysis and proof for different values of and are discussed below.
4.7.4.
Consider i.e.,
Thus, it forms a period-2 orbit with fixed points at and is periodic from the initial step.
Here, except all other points are unstable, and it can be shown as:
For
This sequence continues and the points eventually move to as .
For
As , the points go to , leading to instability.
4.7.5.
Here, any forms unstable sequences and under the action of the map, any initial point moves towards infinity.
4.7.6.
Consider
Thus, it forms a periodic orbit with fixed points as and is periodic from initial iteration.
Here, except for , all other points are unstable and can be proved as above. □
5. Boundary Line :
The boundary line case observes three scenarios when
5.1. Scenario :
For , from the map it is clear that there exists a stable fixed point , which is a global attractor.
5.2. Scenario :
For , one stable fixed point in the left half plane and it is given by . Which is a global attractor forming periodic orbit-2 of type .
5.3. Scenario :
For , since two stable fixed points, on either side of the discontinuity as shown in Figure 14. Here, either points attract towards or forms a periodic orbit around . For , following cases are seen:
Figure 14.
Graph of map for boundary line , i.e., for and .
5.4. Scenario :
For , there is a stable fixed point that acts as an attractor for , forming a period-2 orbit of type , all other points form a periodic orbit .
5.5. Scenario :
For , there exists one stable fixed point which is attractor for . Otherwise, there will be a periodic orbit.
5.6. Scenario :
For , there are no fixed points, and a periodic orbit is formed.
5.7. Analysis of Boundary Line
The analysis of boundary line is carried out based on the map, where
5.7.1.
From map (5), for and , it is seen that there exists a stable fixed point in right half plane. As the magnitude of , any point on x will attract towards , so it is a global attractor.
5.7.2.
In this case, and . There exists a stable fixed point and period-2 orbits around it. The fixed points for this orbit are found as follows:
. Consider,
where
So, with periodic orbit with fixed points as , it becomes periodic after iterations.
. Consider
Thus, there exists a period-2 orbit of type with points ; it becomes periodic after steps.
5.7.3.
In this scenario, both and exist. All points form period-2 orbits around and others either form period-2 orbits or attract towards . This can be seen in Figure 15.
Figure 15.
Basin of attraction of boundary line PR with .
All other points except for the above range attract towards .
if
if
Thus,
if then,
if
Similar to induction, we write
where .
The points other than the above range move towards the stable fixed point .
Proposition 4.
Only admissible patterns in the boundary line with positive length of discontinuity are fixed point (period-1) and period-2 () solutions.
Proof.
The boundary line has , therefore, the fixed point in is going to be a stable attractor, which is seen in the above analysis when . Thus, any initial point attracts to , making it a global attractor and exhibiting a fixed point or period-1 solution. However, for , the fixed point is neither stable nor unstable due to the slope . So, any point keep oscillating around forming orbits of period-2 (). Furthermore, when , both and are present; therefore, a certain range of initial points attract towards , and the remaining points form orbits. □
5.7.4.
In this case, when then , forming the period-2 orbit of type with fixed points .
For all other points, there will be a period-2 orbit as the magnitude of slope is either 1 or less than 1.
and
. Thus, the fixed points of orbit are:
Considering without loss of generality,
.
It can be observed from the bifurcation diagram in Figure 16 that exceeds the range for case and enters into the range of for cases and .
Figure 16.
Bifurcation diagram showing scenarios & with .
5.7.5.
In this scenario (), there is a stable fixed point . Moreover, when , it will have either period-1 or period-2 solutions. The period-1 solution occurs only when , and all other initial points exhibit a period-2 orbit. Furthermore, when , then any initial point will attract towards the fixed points . This is evident in the bifurcation diagram shown in Figure 16.
The orbit periodic points are calculated as follows, when
5.7.6.
In this case, there is no fixed point on either side, and the map slope magnitudes are also , so it forms a period-2 orbit with fixed points given by (6).
Proposition 5.
The line with negative ℓ exhibits fixed point and period-2 solutions.
Proof.
The fixed point in makes the points to oscillate within forming orbit and all other points form period-2 () orbit, when . When , due to either a fixed point solution or orbit are admissible for different initial points. When and , there is no fixed point in or . Therefore, any initial point keeps oscillating between the left and right regions, making it a period-2 orbit. □
Lemma 5.
Period-1 and period-2 ( &∖or ) are the only admissible patterns in boundary line .
6. Region :
The maps for this region are shown in Figure 17 with variations in parameters ℓ and . Here, the fixed point in is stable and the one in is unstable. In this work, the analysis of this region is carried out considering the magnitude of slope as less than one (). When , then any will move to infinity except a certain range of initial values.
Figure 17.
Graph of map for region R, i.e., for and .
6.1. Scenario :
The parameter with resembles that there is a stable fixed point which is a global attractor. Under the action of map, any will converge to .
6.2. Scenario :
When and , there is an unstable fixed point , so any will be repelled out. Here, as , and at
Therefore,
Similarly, with , we have
The relations (6), (7) gives range of for which trajectories are quasi-periodic in nature i.e.
Moreover, these quasi-periodic orbits are bounded within range . Furthermore, to verify the quasi-periodicity nature of the orbits, the Lyapunov exponent is calculated, which comes out to be less than zero.
When , then only orbit is possible with fixed points at
The bifurcation diagram in Figure 18 demonstrates that there exist period-1, period-2, quasi-periodic orbits and chaos for .
Figure 18.
Bifurcation diagram showing period-1 & -2, quasi-periodic orbits and chaos for region R with cases.
6.3. Scenario :
Stable () and unstable () fixed points both exists in this scenario . Therefore, whenever , then is a global attractor, and the same can be seen in Figure 18.
For the above three cases, the Lyapunov exponent (LE) plot is shown in Figure 19 for the piecewise smooth map along with the bifurcation diagram to provide a clearer dynamical interpretation of the observed orbit transitions.
Figure 19.
Lyapunov exponent (LE) for .
The LE plot clearly distinguishes regions of:
- 1.
- Negative LE: indicating stable periodic orbits (period-2);
- 2.
- Near-zero LE: suggesting quasi-periodic orbits;
- 3.
- Positive LE: confirming the presence of chaos.
6.4. Scenario :
6.5. Scenario :
In this case , fixed point is a stable attractor for the basin .
Lemma 6.
Period-2 orbit and period-1 solution coexist with .
Proof.
The magnitude of slope in is less than one, so any point within the
will attract to the stable fixed point irrespective of .
Whenever is outside the above basin, it will oscillate between and . Consider,
Otherwise, and further states move towards . Therefore, period-1 & -2 coexist when . It is illustrated in Figure 20. □
Figure 20.
Bifurcation diagram for case R.5.
6.6. Scenario :
7. Region :
This is the unstable region as both a and b are less than , so in all cases where fixed points present, they repel the states.
7.1. Scenario
: Here, a fixed point in is present. As both slopes are negative, the map exhibits chaotic orbits within a certain range of . Although these orbits are bounded, the Lyapunov exponent is greater than zero. Consider,
The lower limit on for the orbit to be stable is
Similarly, for
The upper bound on for the orbit to be stable is
Therefore for the orbit exists
At steady state, these orbits are constrained within:
7.2. Scenario
With , chaotic orbits if is in the range given by (11). These orbits are constrained within:
7.3. Scenario
Both fixed points are present and a chaotic orbit is exhibited if is within the range given by (11) and the chaotic orbit is constrained in
Theorem 1.
For all , -prime () and -prime () patterns are admissible only for positive even n and m, respectively.
Proof.
The range of existence for is given as
To show that is admissible, we show that
Similarly, for , the range of existence is
To show this range is admissible for even m, we show
□
7.4. Scenario ; and
These scenarios present unstable action with a negative length of discontinuity. Under the action of map (1), any initial point moves to infinity.
8. Boundary Line :
This boundary line explores stable and unstable dynamics with parameter values .
With positive length of discontinuity (), the following three cases are present.
8.1. Scenario
For there exists a fixed point and as the magnitude of the slope is greater than 1, it will have period-2 () orbits within the following range of ,
8.2. Scenario
For , an unstable fixed point is present. It exhibits the orbits if and only if is in the range given by Equation (14). The remaining are chaotic orbits, as these are bounded and have positive Lyapunov exponent.
8.3. Scenario
For , both the fixed points and are present. The map exhibits orbits within the range of Equation (14). Otherwise, these lead to infinity.
8.4. Scenario ; and :
The negative length of discontinuity will lead to instability for any except when in the case where it forms orbits with periodic points .
9. Conclusions
This work presents a comprehensive analytical study of a one-dimensional linear piecewise-smooth discontinuous map with both slope parameters negative, thereby exploring the dynamical regimes situated in the third quadrant of the parameter space. The bifurcation behavior and orbit structures of the map were systematically analyzed by varying the parameters and ℓ, under the constraint that the absolute values of the slopes remain less than or equal to one. Special emphasis was placed on identifying the parameter conditions that lead to stable periodic orbits, especially period-2 and period-2 orbits of types ( or ), which emerge as characteristic features in this quadrant. Distinct dynamical phenomena, including coexisting attractors, periodic and quasi-periodic behavior, as well as chaotic regimes in a couple of scenarios, were observed and mathematically characterized. In particular, the study established closed-form expressions to determine the number of iterations required for a trajectory to settle into periodic orbits. Boundary cases, including switching manifolds and the critical intersections of phase space partitions, were addressed to gain insight into transitions between qualitatively different dynamics.
The theoretical analysis was rigorously validated using numerical tools such as bifurcation diagrams, cobweb plots, and basin of attraction visualizations. The outcomes of this investigation provide a useful framework for the robust or sustainable design and stability assessment of power electronic converters, especially when integrated into renewable energy systems where discontinuities and non-smooth behaviors are inherent. Overall, this study contributes to a foundational understanding of discontinuous dynamical systems and their application to sustainable energy conversion technologies. Further, these converters can be modelled and analyzed in two-dimensions or n-dimensions.
Author Contributions
Conceptualization, R.A.M. and B.R.; methodology, R.A.M.; software, R.A.M.; validation, B.R., K.R.N. and M.L.K.; formal analysis, B.R.; investigation, R.A.M.; resources, K.R.N.; data curation, K.R.N.; writing—original draft preparation, R.A.M.; writing—review and editing, B.R. and K.R.N.; visualization, K.R.N.; supervision, B.R. and M.L.K.; project administration, B.R. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author(s).
Conflicts of Interest
The authors declare no conflicts of interest.
Abbreviations
The following abbreviations are used in this manuscript:
| PWS | Piecewise-Smooth |
| BCB | Border Collision Bifurcation |
| 1-D | One Dimensional |
References
- Bakri, T.; Verhulst, F. Quasi-Periodic Bifurcations and Chaos. Mathematics 2025, 13, 1940. [Google Scholar] [CrossRef]
- Ontañón-García, L.J.; Barajas-Ramírez, J.G.; Campos-Cantón, E.; Magallón-García, D.A.; Guerra-García, C.A.; Cuesta-García, J.R.; Pena-Ramirez, J.; Echenausía-Monroy, J.L. Algorithm for Generating Bifurcation Diagrams Using Poincaré Intersection Plane. Mathematics 2025, 13, 1818. [Google Scholar] [CrossRef]
- Niranatlumpong, P.; Allen, M.A. A 555 timer ic chaotic circuit: Chaos in a piecewise linear system with stable but no unstable equilibria. IEEE Trans. Circuits Syst. Regul. Pap. 2021, 69, 798–810. [Google Scholar] [CrossRef]
- Banerjee, S.; Karthik, M.; Yuan, G.; Yorke, J.A. Bifurcations in one-dimensional piecewise smooth maps: Theory and applications in switching circuits. IEEE Trans. Circuits Syst. Fundam. Theory Appl. 2000, 47, 389–394. [Google Scholar] [CrossRef]
- Gardini, L.; Fournier-Prunaret, D.; Chargé, P. Border collision bifurcations in a two-dimensional piecewise smooth map from a simple switching circuit. Chaos 2011, 21, 023106. [Google Scholar] [CrossRef] [PubMed]
- Avrutin, V.; Zhusubaliyev, Z.T. Piecewise-linear map for studying border collision phenomena in dc/ac converters. Int. J. Bifurc. Chaos 2020, 30, 2030015. [Google Scholar] [CrossRef]
- Viktor, A.; Zhanybai, Z.; Erik, M. Cascades of alternating pitchfork and flip bifurcations in h-bridge inverters. Phys. D Nonlinear Phenom. 2016, 345, 27–39. [Google Scholar] [CrossRef]
- Zhusubaliyev, Z.T.; Soukhoterin, E.A.; MosekiIde, E. Border-Collision Bifurcations on a Two-Dimensional Torus and Transitions to Chaos in a Control System with Pulse-Width Modulation. IFAC Proc. Vol. 2001, 34, 155–160. [Google Scholar] [CrossRef]
- Arce, H.; Torres, A.; Falcón-Neri, A.; Mimila, O.; González, G.H. Border collision bifurcations in tantalus oscillator. Rev. Mex. Física 2017, 63, 171–184. [Google Scholar]
- Feng, J.Q.; Wang, T.; Xu, W. The noise-induced chaotic transition in a vibro-impact oscillator. Appl. Mech. Mater. 2012, 117–119, 347–350. [Google Scholar]
- Tramontana, F.; Westerhoff, F.; Gardini, L. On the complicated price dynamics of a simple one-dimensional discontinuous financial market model with heterogeneous interacting traders. J. Econ. Behav. Organ. 2010, 74, 187–205. [Google Scholar] [CrossRef]
- Panchuk, A.; Sushko, I.; Westerhoff, F. A financial market model with two discontinuities: Bifurcation structures in the chaotic domain. Chaos Interdiscip. J. Nonlinear Sci. 2018, 28, 055908. [Google Scholar] [CrossRef]
- Lu, S.; Oberst, S.; Zhang, G.; Luo, Z. Bifurcation analysis of dynamic pricing processes with nonlinear external reference effects. Commun. Nonlinear Sci. Numer. Simul. 2019, 79, 104929. [Google Scholar] [CrossRef]
- Kubin, I.; Gardini, L. On the significance of borders: The emergence of endogenous dynamics. J. Econ. Interact. Coord. 2020, 17, 41–62. [Google Scholar] [CrossRef]
- Nusse, H.; Yorke, J. Border-collision bifurcations including period two to period three for piecewise smooth systems. Phys. D Nonlinear Phenom. 1992, 57, 39–57. [Google Scholar] [CrossRef]
- Feigin, M. Doubling of the oscillation period with c-bifurcations in piecewise-continuous systems. J. Appl. Math. Mech. 1970, 34, 861–869. [Google Scholar] [CrossRef]
- Alligood, K.; Sauer, T.; Yorke, J. Chaos: An Introduction to Dynamical Systems. In Textbooks in Mathematical Sciences; Springer: New York, NY, USA, 1997. [Google Scholar]
- di Bernardo, M.; Budd, C.; Champneys, A.; Kowalczyk, P. Piecewise-Smooth Dynamical Systems: Theory and Applications; Springer: London, UK, 2008; Volume 163. [Google Scholar]
- Avrutin, V.; Gardini, L.; Sushko, I.; Tramontana, F. Continuous and Discontinuous Piecewise-Smooth One-Dimensional Maps: Invariant Sets and Bifurcation Structures; World Scientific: Singapore, 2019. [Google Scholar]
- Rajpathak, B.; Pillai, H.; Bandyopadhyay, S. Analysis of stable periodic orbits in the one dimensional linear piecewise-smooth discontinuous map. Chaos: Interdiscip. J. Nonlinear Sci. 2012, 22, 0331261–0331269. [Google Scholar] [CrossRef]
- Rajpathak, B.; Pillai, H.B.; Yopadhyay, S. Analysis of unstable periodic orbits and chaotic orbits in the one-dimensional linear piecewise-smooth discontinuous map. Chaos: Interdiscip. J. Nonlinear Sci. 2015, 25, 1031011–10310112. [Google Scholar] [CrossRef] [PubMed]
- Metri, R.A.; Mounica, M.; Rajpathak, B.A. Characterization of 1d linear piecewise-smooth discontinuous map. In Proceedings of the 2020 IEEE First International Conference on Smart Technologies for Power, Energy and Control (STPEC), Nagpur, India, 25–26 September 2020; pp. 1–6. [Google Scholar]
- Avrutin, V.; Schanz, M.; Gardini, L. Calculation of bifurcation curves by map replacement. Int. J. Bifurc. Chaos 2010, 20, 3105–3135. [Google Scholar] [CrossRef]
- Patra, M.; Gupta, S.; Banerjee, S. Local and global bifurcations in 3d piecewise smooth discontinuous maps. Chaos Interdiscip. J. Nonlinear Sci. 2021, 31, 013126. [Google Scholar] [CrossRef]
- Roy, I.; Roy, A. Border collision bifurcations in three-dimensional piecewise smooth systems. Int. J. Bifurc. Chaos 2008, 18, 577–586. [Google Scholar] [CrossRef]
- Qin, Z.; Yang, J.; Banerjee, S.; Jiang, G. Border collision bifurcations in a generalized piecewise linear-power map. Discret. Contin. Dyn. Syst. Ser. B 2011, 16, 547–567. [Google Scholar] [CrossRef]
- Avrutin, V.; Schanz, M.; Banerjee, S. Codimension-three bifurcations: Explanation of the complex one-, two-, and three-dimensional bifurcation structures in non-smooth maps. Phys. Rev. E 2007, 75, 0662051–0662057. [Google Scholar] [CrossRef]
- Sushko, I.; Commendatore, P.; Kubin, I. Codimension-two border collision bifurcation in a two-class growth model with optimal saving and switch in behavior. Nonlinear Dyn. 2020, 102, 1071–1095. [Google Scholar] [CrossRef]
- Jain, P.; Banerjee, S. Border collision bifurcation in one-dimensional discontinuous maps. Int. J. Bifurc. Chaos 2003, 13, 3341–3351. [Google Scholar] [CrossRef]
- Metri, R.; Rajpathak, B.; Pillai, H. Analysis of atypical orbits in one-dimensional piecewise-linear discontinuous maps. Nonlinear Dyn. 2023, 111, 9395–9408. [Google Scholar] [CrossRef]
- Avrutin, V.; Schanz, M.; Banerjee, S. Multi-parametric bifurcations in a piecewise-linear discontinuous map. Nonlinearity 2006, 19, 1875–1906. [Google Scholar] [CrossRef]
- Gardini, L.; Tramontana, F. Border collision bifurcation curves and their classification in a family of 1d discontinuous maps. Chaos Solitons Fractals 2011, 44, 248–259. [Google Scholar] [CrossRef]
- Avrutin, V.; Schanz, M.; Gardini, L. Self-similarity of the bandcount adding structures: Calculation by map replacement. Regul. Chaotic Dyn. 2010, 15, 685–703. [Google Scholar] [CrossRef]
- Gardini, L.; Avrutin, V.; Schanz, M. Border collision bifurcations in 1d piecewise-linear maps and leonov’s approach. Int. J. Bifurc. Chaos 2010, 20, 3085–3104. [Google Scholar] [CrossRef]
- Banerjee, S.; Verghese, G.C. Nonlinear Phenomena in Power Electronics; IEEE: Piscataway Township, NJ, USA, 1999. [Google Scholar]
- Aroudi, A.E.; Debbat, M.; Giral, R.; Olivar, G.; Benadero, L.; Toribio, E. Bifurcations in dc–dc switching converters: Review of methods and applications. Int. J. Bifurc. Chaos 2005, 15, 1549–1578. [Google Scholar] [CrossRef]
- Aroudi, A.E.; Benadero, L.; Haroun, R.; Martínez-Salamero, L.; Tse, C.K. Bifurcation phenomena in open-loop dcm-operated dc–dc switching converters feeding constant power loads. Electronics 2023, 12, 1030. [Google Scholar] [CrossRef]
- Reza, C.; Lu, D.D.-C. Recent progress and future research direction of nonlinear dynamics and bifurcation analysis of grid-connected power converter circuits and systems. IEEE J. Emerg. Sel. Top. Power Electron. 2019, 8, 3193–3203. [Google Scholar] [CrossRef]
- Ma, R.; Yang, Z.; Cheng, S.; Zhan, M. Sustained oscillations and bifurcations in three-phase voltage source converter tied to ac grid. IET Renew. Power Gener. 2020, 14, 3770–3781. [Google Scholar] [CrossRef]
- Zhioua, M.; Aroudi, A.E.; Belghith, S.; Bosque-Moncusí, J.M.; Giral, R.; Hosani, K.A.; Al-Numay, M. Modeling, dynamics, bifurcation behavior and stability analysis of a dc–dc boost converter in photovoltaic systems. Int. J. Bifurc. Chaos 2016, 26, 1650166. [Google Scholar] [CrossRef]
- Sayed, E.T.; Olabi, A.G.; Alami, A.H.; Radwan, A.; Mdallal, A.; Rezk, A.; Abdelkareem, A.M. Renewable energy and energy storage systems. Energies 2023, 16, 1415. [Google Scholar] [CrossRef]
- Wang, R.; Xie, F.; Zhang, B.; Qiu, D.; Xiao, W.; Chen, Y. Modeling and nonlinear dynamic behavior analysis of photovoltaic-energy storage dc microgrid. IEEE Trans. Circuits Syst. Regul. Pap. 2025, 72, 2778–2791. [Google Scholar] [CrossRef]
- Sushko, I.; Gardini, L.; Avrutin, V. Nonsmooth one-dimensional maps: Some basic concepts and definitions. J. Differ. Equ. Appl. 2016, 22, 1816–1870. [Google Scholar] [CrossRef]
- Iñiguez, A.; Ruiz Leal, B. Atractores en funciones lineales crecientes por parte en la recta real. Rev. Digit. Novasinergia 2021, 4, 48–61. [Google Scholar]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).