Actuators for System Identification, Vibration Analysis, and Control—2nd Edition

A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Control Systems".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 529

Special Issue Editor


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Guest Editor

Special Issue Information

Dear Colleagues,

Oscillations manifest in numerous dynamic systems. Vibrations can be found in a wide range of applications of mechanical, electric, electronic, electromechanical, and electromagnetic systems. Actuators play a key role in successfully accomplishing vibration control in addition to parametric estimation of vibrating engineering systems.

This Special Issue aims to present recent and innovative contributions to vibration analysis, system identification, estimation of parameters and signals, and diverse control methods for a wide variety of oscillating systems. Important advances in both theoretical and experimental studies for analysis, identification, and control of oscillating systems, including the application of actuators, are within the scope of the present Special Issue.

Thus, in this context, we welcome important contributions related (but not limited) to modeling, vibration control, estimation and identification, vehicle suspensions, dynamic vibration absorbers, rotordynamics, wind energy conversion systems, modal analysis, dynamic structures, finite element analysis, numerical methods, and other engineering applications and theoretical developments in this broad field.

Prof. Dr. Francisco Beltran-Carbajal
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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. Actuators is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • vibration control
  • system identification
  • modal analysis
  • structural dynamics
  • finite element analysis
  • rotordynamics

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Published Papers (1 paper)

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Research

30 pages, 5036 KB  
Article
Filtering and Fractional Calculus in Parameter Estimation of Noisy Dynamical Systems
by Alexis Castelan-Perez, Francisco Beltran-Carbajal, Ivan Rivas-Cambero, Clementina Rueda-German and David Marcos-Andrade
Actuators 2025, 14(10), 474; https://doi.org/10.3390/act14100474 - 27 Sep 2025
Viewed by 368
Abstract
The accurate estimation of parameters in dynamical systems stands for an open key research issue in modeling, control, and fault diagnosis. The presence of noise in input and output signals poses a serious challenge for accurate real-time dynamical system parameter estimation. This paper [...] Read more.
The accurate estimation of parameters in dynamical systems stands for an open key research issue in modeling, control, and fault diagnosis. The presence of noise in input and output signals poses a serious challenge for accurate real-time dynamical system parameter estimation. This paper proposes a new robust algebraic parameter estimation methodology for integer-order dynamical systems that explicitly incorporates the signal filtering dynamics within the estimator structure and enhances noise attenuation through fractional differentiation in frequency domain. The introduced estimation methodology is valid for Liouville-type fractional derivatives and can be applied to estimate online the parameters of differentially flat, oscillating or vibrating systems of multiple degrees of freedom. The parametric estimation can be thus implemented for a wide class of oscillating or vibrating, nth-order dynamical systems under noise influence in measurement and control signals. Positive values are considered for the inertia, stiffness, and viscous damping parameters of vibrating systems. Parameter identification can be also used for development of actuators and control technology. In this sense, validation of the algebraic parameter estimation is performed to identify parameters of a differentially flat, permanent-magnet direct-current motor actuator. Parameter estimation for both open-loop and closed-loop control scenarios using experimental data is examined. Experimental results demonstrate that the new parameter estimation methodology combining signal filtering dynamics and fractional calculus outperforms other conventional methods under presence of significant noise in measurements. Full article
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