Recent Advances in Theory and Practice of Time-Delay Systems Analysis and Control

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "C2: Dynamical Systems".

Deadline for manuscript submissions: 15 January 2027 | Viewed by 1755

Special Issue Editors


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Guest Editor
Department of Automation and Control Engineering, Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, 760 05 Zlín, Czech Republic
Interests: automatic control; time-delay systems; optimization
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Guest Editor
School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Interests: vehicle engineering; heating system
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Guest Editor
Department of Automation and Control Engineering, Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, 760 05 Zlín, Czech Republic
Interests: automatic control; robust control; fractional-order systems; uncertainty
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

One can find a large number of systems and processes exhibiting various forms of delay or non-simultaneous action of various quantities all around. This phenomenon applies not only in technical practice but also in a wide range of non-technical human activities, e.g., in biology or economics, and can be reflected in the relevant mathematical models. In some cases, latency can be observed only in the input–output relationship (e.g., in material transport). However, the delaying effect on the feedback between the output and the input is often an inherent part of the system or its model (e.g., in looped heating–cooling networks). In addition, the delay can have different forms—it can act in one place or, conversely, be spatially distributed. It is a well-known fact that the delay in the feedback—whether as part of the (controlled) system or process itself or in a closed control loop—can have a negative effect on the dynamic properties of the system, especially on its stability. In the latter case, the existence of shifted arguments in the left (output) side of the differential equation in models of systems with delay, the so-called delay-differential equations, makes analysis and control design disproportionately more difficult than in the case of non-delayed systems, due to their infinite-dimensional nature.

The study of the influence of delays on system stability, dynamics, and control performance poses a challenging mathematical exercise. Current theory is confronted with increasing requirements for the quality and performance of control systems in the industry and everyday practice, which can hardly be achieved using conventional methods. In order to meet these goals, more in-depth knowledge of the controlled delayed systems is a prerequisite. Despite significant advances in artificial intelligence techniques and strategies in recent years, distinguished scholars still find innovative solutions to the existing task and define new open problems that stem from an ever more profound understanding of this reign.

This Special Issue of Mathematics is focused on recent developments in approaches and solutions to time-delay dynamical systems analysis and control design. The goal was to attract quality and novel papers in the field of “Theory and Practice of Time-Delay Systems Analysis and Control”. Besides purely theoretical research results, applications from diverse fields of human activity are welcome.

This Special Issue of Mathematics is focused on recent developments in approaches to time-delay systems analysis and control design. We seek papers on system stability and dynamics analysis, including exponential, asymptotic, strong, delay-dependent, delay-independent, BIBO, H2, H, polynomial, global, and other types of system stability. Results on asymptotic and long-time behavior, synchronization; Hopf, fold, and pitchfork bifurcation; stability switching; dynamic mode decomposition, eigenvalue analyses, and properties of the evolution operator are also welcome. Special consideration will be given to delays of neutral types and systems given by algebraic-differential equations; however, systems with retarded delays are also acceptable due to their practicability. In addition, the scope of this Special Issue includes modern control methods and their applications, such as switched systems, event-triggered control, Lyapunov–Razumikhin- and Krasovskii-type approaches, etc. Following recent advances in artificial intelligence, modeling, identification, and control strategies based on machine learning principles, such as reinforcement learning, deep learning, bidirectional associative memory, and convolutional neural networks, can be considered as well.

All submitted papers will be peer-reviewed and selected based on their quality and relevance to this Special Issue.

Dr. Libor Pekař
Prof. Dr. Mengjie Song
Dr. Radek Matušů
Guest Editors

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

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Keywords

  • time-invariant and time-variant delayed systems
  • delay-varying models and their stability
  • linear and nonlinear delayed systems
  • dynamics and stability of systems with retarded and neutral delays
  • delayed systems described by algebraic-differential equations
  • exponential, asymptotic, strong, delay-dependent, delay-independent, BIBO, H2, H∞, and polynomial stability of time-delay systems
  • delay-dependent and delay-independent stability
  • hopf, fold, and pitchfork bifurcation, stability switching
  • dynamic mode decomposition, eigenvalue analyses, properties of the evolution operator
  • semi-discretization and full-discretization methods
  • finite-dimension approximations
  • filtering and estimation of time-delay systems
  • switched systems with time delay and event-triggered control
  • Krasovskii-type and Lyapunov–Razumikhin-type stability and control approaches
  • new results in controllability and observability of time-delay systems
  • robust, algebraic, and adaptive control methods and their applications
  • machine learning principles, reinforcement learning, deep learning in modeling and control
  • bidirectional associative memory and convolutional neural networks
  • laboratory and experimental verification
  • real-life applications in the reign of time-delay systems

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Related Special Issue

Published Papers (3 papers)

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Research

31 pages, 901 KB  
Article
Neutral, Leakage, and Mixed Delays in Quaternion-Valued Neural Networks on Time Scales: Stability and Synchronization Analysis
by Călin-Adrian Popa
Mathematics 2026, 14(3), 440; https://doi.org/10.3390/math14030440 - 27 Jan 2026
Viewed by 318
Abstract
Quaternion-valued neural networks (QVNNs) that have multiple types of delays (leakage, time-varying, distributed, and neutral) and defined on time scales are discussed in this paper. Quaternions form a 4D normed division algebra and allow for a better representation of 3D and 4D data. [...] Read more.
Quaternion-valued neural networks (QVNNs) that have multiple types of delays (leakage, time-varying, distributed, and neutral) and defined on time scales are discussed in this paper. Quaternions form a 4D normed division algebra and allow for a better representation of 3D and 4D data. QVNNs have been proposed and applications have appeared lately. Time-scale calculus was developed to allow the joint treatment of systems, or any hybrid mixing of them, and was also applied with success to the analysis of dynamic properties for neural networks (NNs). Because of its generality, encompassing the common properties of discrete-time (DT) and continuous-time (CT) NNs, time-scale NNs dynamics research does not benefit from a fully-developed Lyapunov theory. So, Halanay-type inequalities have to be used instead. To this end, we provide a novel generalization of inequalities of Halanay-type on time scales specifically suited for neutral systems, i.e., systems with neutral delays. Then, this new lemma is employed to obtain sufficient conditions presented both as linear matrix inequalities (LMIs) and as algebraic inequalities for the exponential stability and exponential synchronization of QVNNs on time scales with the mentioned delay types. The model put forward in this paper has a generality which is appealing for practical applications, in which both DT and CT dynamics are interesting, and all the discussed types of delays appear. For both the DT and CT scenarios, four numerical applications are used to illustrate the four theorems put forward in this research. Full article
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30 pages, 2466 KB  
Article
Predefined-Time Adaptive Command Filter Control for Nonstrict-Feedback Nonlinear Systems with Input Delay and Unmodeled Dynamics
by Mohamed Kharrat and Paolo Mercorelli
Mathematics 2026, 14(1), 14; https://doi.org/10.3390/math14010014 - 20 Dec 2025
Cited by 2 | Viewed by 426
Abstract
This work addresses the tracking control problem of nonstrict-feedback nonlinear systems affected by unmodeled dynamics and input delays, which significantly complicate controller design and degrade system performance. To overcome these challenges, a predefined-time adaptive control framework is developed. A command-filtered backstepping scheme is [...] Read more.
This work addresses the tracking control problem of nonstrict-feedback nonlinear systems affected by unmodeled dynamics and input delays, which significantly complicate controller design and degrade system performance. To overcome these challenges, a predefined-time adaptive control framework is developed. A command-filtered backstepping scheme is employed to reduce computational complexity, while an error compensation mechanism is introduced to counteract the inaccuracies caused by command filtering. The unknown nonlinear dynamics are approximated using radial basis function-based estimators, and a dynamic auxiliary signal is designed to mitigate the effects of unmodeled dynamics. Input delays are handled by integrating Padé approximation with an intermediate compensating variable. The proposed control strategy guarantees uniform boundedness of all closed-loop signals and ensures that the tracking error converges to a small neighborhood of the desired trajectory within a predefined time. Simulation results and comparative studies are provided to demonstrate the effectiveness and advantages of the proposed method. Full article
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18 pages, 646 KB  
Article
Analytical Solutions and Controllability of Delay Differential Matrix Equations via Kronecker Product and Delayed Matrix Functions
by Fatemah Mofarreh, Faridah Alruwaili, Xingtao Wang and Ahmed M. Elshenhab
Mathematics 2025, 13(22), 3581; https://doi.org/10.3390/math13223581 - 7 Nov 2025
Viewed by 569
Abstract
This work introduces a unified framework for analyzing linear delay differential Sylvester matrix equations with noncommuting coefficients. The methodology employs a Kronecker product-based vectorization to transform the system, yielding explicit closed-form solutions via a novel delayed perturbation matrix function. Additionally, a delay-adapted Gramian [...] Read more.
This work introduces a unified framework for analyzing linear delay differential Sylvester matrix equations with noncommuting coefficients. The methodology employs a Kronecker product-based vectorization to transform the system, yielding explicit closed-form solutions via a novel delayed perturbation matrix function. Additionally, a delay-adapted Gramian matrix is formulated to derive necessary and sufficient controllability criteria. The approach’s efficacy is confirmed through a numerical example, demonstrating its capability in complex, noncommutative scenarios where classical methods are inapplicable. Full article
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