Advances in Control Systems and Automatic Control, 2nd Edition

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 1341

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering, Örebro University, SE-701 82 Örebro, Sweden
Interests: control systems; active vibration control; fuzzy control; control algorithms; automatic fault detection

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Guest Editor
Department of Applied Physics and Electronics, Umeå Universitet, SE-901 87 Umeå, Sweden
Interests: signal and image analysis; imaging systems; digital holography; speckle metrology; optical metrology
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Guest Editor
Gas Turbine and Transmission Research Centre, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK
Interests: fuzzy control; automatic fault detection
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Advances in digital processing hardware have resulted in faster sampling rates and provided the opportunity for the development of control schemes with ever-increasing complexity. The use of control systems and automation has drastically increased over the past few years, setting a trend that is likely to continue into the future. Control systems now have practical relevance to advancements in sensors, actuators, control algorithms, and the application of machine learning. Control systems are required to carry out a variety of difficult activities in unpredictable working conditions, either with or without the assistance of human operators. In order to accomplish this, newly developed sensing, actuation, and control technologies have been thoroughly incorporated into increasingly sophisticated automated systems. This combined complexity creates significant difficulties for modern automatic systems. With intelligent control and cutting-edge technologies, significant advancements in automation are anticipated.

The purpose of this Special Issue is to give subject matter specialists a forum for the development of an innovative control strategy. This pulication will cover every facet of control engineering, including system identification, design, implementation, and analysis, for real-world control systems. Applications in mechatronic systems, robotics, automated manufacturing, power, aerospace, automotive, and electronic systems, among others, may be included. Topics might include, but are not limited to, the following areas:

  • Nonlinear, adaptive, and robust control;
  • Current trends in PID;
  • Vibration control;
  • Fault detection;
  • Machine learning in control systems;
  • Model-based control;
  • Model predictive control (MPC);
  • System identification;
  • Fuzzy control.

Dr. Satyam Paul
Dr. Davood Khodadad
Dr. Rob Turnbull
Guest Editors

Manuscript Submission Information

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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.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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

  • proportional–derivative (PD)
  • proportional–integral–derivative (PID)
  • fuzzy logic
  • neural network
  • artificial intelligence
  • automation
  • control engineering
  • automatic fault detection

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Related Special Issue

Published Papers (2 papers)

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Research

20 pages, 10871 KB  
Article
Wide-Angle Beam-Scanning Antenna Array for Extending the Lateral Detection Range of GPR
by Qifei Zhang, Zirui Zheng, Jiahui Wu, Yongqing Wang and Linyan Guo
Mathematics 2026, 14(5), 824; https://doi.org/10.3390/math14050824 - 28 Feb 2026
Viewed by 460
Abstract
This study presents a novel beam-scanning ground-penetrating radar (BS-GPR) system based on a wide-angle beam-scanning antenna array, aimed at extending the lateral detection range and improving the imaging fidelity without increasing the size of the transceiver antennas. The BS-GPR comprises a signal transceiver, [...] Read more.
This study presents a novel beam-scanning ground-penetrating radar (BS-GPR) system based on a wide-angle beam-scanning antenna array, aimed at extending the lateral detection range and improving the imaging fidelity without increasing the size of the transceiver antennas. The BS-GPR comprises a signal transceiver, a wide-angle beam-scanning antenna array for transmission and a bowtie antenna for reception. Unlike conventional commercial ground-penetrating radar (GPR), the transmitting signal of the wide-angle beam-scanning antenna array designed in this study can cover a fan-shaped region of ±90°, enabling the detection of abnormal targets outside the rectangular region directly below it. In field tests on air and sand, the BS-GPR proposed in this study can detect anomalous targets in the 55° and 30° directions, respectively. In brief, this study confirms the effectiveness of the wide-angle beam-scanning antenna array for extending the lateral detection range of GPR. Full article
(This article belongs to the Special Issue Advances in Control Systems and Automatic Control, 2nd Edition)
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22 pages, 21888 KB  
Article
Robust Integral Optimal Sliding Mode Control Design for Electromagnetic Levitation System with Matched Uncertainties
by Amit Pandey, Gulshan Sharma, Pitshou N. Bokoro and Rajesh Kumar
Mathematics 2026, 14(2), 229; https://doi.org/10.3390/math14020229 - 8 Jan 2026
Viewed by 532
Abstract
Recently, there has been a rapid increase in the demand for magnetic levitation systems. Since they are utilized in many levitation-based systems, one such application is in magnetic levitated (Maglev) trains. Moreover, these systems are complicated to control due to their nonlinear characteristics, [...] Read more.
Recently, there has been a rapid increase in the demand for magnetic levitation systems. Since they are utilized in many levitation-based systems, one such application is in magnetic levitated (Maglev) trains. Moreover, these systems are complicated to control due to their nonlinear characteristics, susceptibility to external disturbances, and model uncertainties. This article proposes an enhanced integral sliding mode control (ISMC) strategy with a robust optimal framework designed for electromagnetic levitation systems (EMLSs). Traditional sliding mode control (SMC) often suffers from a high-frequency phenomenon in the input, thereby necessitating the development of a more robust controller. This requirement is addressed through the implementation of a comprehensive integral robust optimal sliding mode control strategy. The proposed controller effectively mitigates the chattering phenomenon while simultaneously enhancing the system’s robustness against uncertainties. The robust optimal approach is specifically designed to handle the matched uncertainties inherent in the system dynamics, thereby facilitating an appropriate feedback control mechanism. The Hamilton–Jacobi–Bellman (HJB) equation is used to achieve the robust control design. This feedback control is integrated with the ISMC to execute the desired control action effectively. The simulation results highlight the effectiveness of the proposed control scheme, presenting a comparative analysis of performance indices, including integral time absolute error (ITAE), integral absolute error (IAE), integral squared error (ISE), and integral time squared error (ITSE). These indices collectively underscore the robustness of the control design. Full article
(This article belongs to the Special Issue Advances in Control Systems and Automatic Control, 2nd Edition)
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