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Mathematics
Special Issues
High-Performance Advanced Control for Electromechanical and Hydraulic Systems
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High-Performance Advanced Control for Electromechanical and Hydraulic Systems

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 2002

Special Issue Editors

Dr. Xiaowei Yang

E-Mail
Guest Editor
School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Interests: electromechanical and hydraulic systems; nonlinear control; motion control; adaptive and robust control; intelligent control
Dr. Wenxiang Deng

E-Mail Website
Guest Editor
School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Interests: hydraulic transmission and control; robotics; mechatronics; nonlinear control; adaptive and robust control
Special Issues, Collections and Topics in MDPI journals
Dr. Xiaoli Zhao

E-Mail Website
Guest Editor
School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Interests: diagnostics, prognostics and health management (PHM) for electromechanical and hydraulic equipment; artificial intelligence and signal processing; digital twins
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Both electromechanical and hydraulic systems are broadly applied in high-performance drive and motion control for high-end mechanical equipment. Nonetheless, considering the presence of strong nonlinearities and multiple uncertainties existing in electromechanical and hydraulic systems, it is still arduous to meet the requirement of high-performance control. Thereby, the advanced control techniques for electromechanical and hydraulic systems have attracted much attention in recent years.

This Special Issue focuses on high-performance advanced control for electromechanical and hydraulic systems. The main topics of this Special Issue include, but are not limited to, the following: electromechanical control; hydraulic control; robot control; nonlinear control; adaptive and robust control; disturbance rejection control; intelligent control; fault diagnosis and fault-tolerant control; modeling; simulations and applicationss; etc. We look forward to your submissions.

Dr. Xiaowei Yang
Dr. Wenxiang Deng
Dr. Xiaoli Zhao
Guest Editors

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. 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

  • electromechanical control
  • hydraulic control
  • robot control
  • nonlinear control
  • adaptive control
  • robust control
  • disturbance rejection control
  • intelligent control
  • reinforcement learning control
  • neural network control
  • fuzzy control
  • fault diagnosis and fault-tolerant control
  • modeling, simulations and applications

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Published Papers (3 papers)

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Research

17 pages, 1239 KB  
Article
Prescribed-Performance-Function-Based RISE Control for Electrohydraulic Servo Systems with Disturbance Compensation
by Guangda Liu and Junjie Mi
Mathematics 2025, 13(24), 3923; https://doi.org/10.3390/math13243923 - 8 Dec 2025
Viewed by 421
Abstract
Considering that the electrohydraulic servo system has extremely strong nonlinear characteristics, problems such as low initial tracking accuracy and large unmodeled dynamic errors are prominent, leading to easy degradation of control performance. To achieve high-precision position tracking control, this study proposes a robust [...] Read more.
Considering that the electrohydraulic servo system has extremely strong nonlinear characteristics, problems such as low initial tracking accuracy and large unmodeled dynamic errors are prominent, leading to easy degradation of control performance. To achieve high-precision position tracking control, this study proposes a robust integral of the sign of the error (RISE) control method with prescribed performance function (PPF) and dual extended state observers (DESOs). Combined with the system dynamic model, DESOs are designed to estimate matched and mismatched uncertainties, respectively. The transformed error signal is obtained based on the prescribed performance function (PPF), while restricting the convergence rate and range of the error. A RISE controller is designed using the backstepping method to suppress both matched and unmatched uncertainties and improve the system robustness. The Lyapunov stability theory proves that the system is semi-globally stable and all signals are bounded. Simulation results show that the proposed control strategy significantly improves the tracking accuracy and error convergence rate of the electrohydraulic servo system, fully verifying the effectiveness of the control strategy. Full article
(This article belongs to the Special Issue High-Performance Advanced Control for Electromechanical and Hydraulic Systems)
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20 pages, 1875 KB  
Article
Output Feedback Roll Control for Moving-Mass Actuated Reentry Vehicle with Full State Constraints
by Jingzhong Zheng, Guangyu Zou, Maria Sergeevna Selezneva and Xianbo Chen
Mathematics 2025, 13(24), 3911; https://doi.org/10.3390/math13243911 - 6 Dec 2025
Viewed by 419
Abstract
A barrier Lyapunov function-based command filtered output feedback controller is proposed for the roll control of moving-mass actuated reentry vehicles challenged by strong nonlinearities, state constraints, and unmeasurable states. First, a barrier Lyapunov function is constructed to guarantee strict adherence to the position [...] Read more.
A barrier Lyapunov function-based command filtered output feedback controller is proposed for the roll control of moving-mass actuated reentry vehicles challenged by strong nonlinearities, state constraints, and unmeasurable states. First, a barrier Lyapunov function is constructed to guarantee strict adherence to the position and velocity constraints of the movable mass. Next, a state observer is designed to estimate the immeasurable states, while command filtering technology with a compensation mechanism is employed to circumvent the differential explosion problem in backstepping design. The stability of the closed-loop system and the boundedness of all signals are rigorously proven via Lyapunov stability theory. Finally, numerical simulations are conducted to demonstrate the performance of the proposed controller. Full article
(This article belongs to the Special Issue High-Performance Advanced Control for Electromechanical and Hydraulic Systems)
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17 pages, 2527 KB  
Article
An Adaptive Prescribed Performance Position Tracking Controller for Hydraulic Systems
by Junqiang Shi, Xiaowei Yang, Jinjun Wu and Jingcheng Gao
Mathematics 2025, 13(14), 2258; https://doi.org/10.3390/math13142258 - 12 Jul 2025
Cited by 2 | Viewed by 697
Abstract
Unknown time-varying parameters, along with mismatched and matched disturbances, exist in hydraulic systems, worsening position tracking performance and even destabilizing systems. To address this issue, this article proposes an adaptive full-state prescribed performance position tracking control for hydraulic systems subject both to unknown [...] Read more.
Unknown time-varying parameters, along with mismatched and matched disturbances, exist in hydraulic systems, worsening position tracking performance and even destabilizing systems. To address this issue, this article proposes an adaptive full-state prescribed performance position tracking control for hydraulic systems subject both to unknown time-varying parameters and to mismatched and matched disturbances. First, a smooth nonlinear term is skillfully introduced into the controller design so that it can simultaneously cope with both unknown time-varying parameters and disturbances. Next, by integrating the adaptive technique and the prescribed performance function, an adaptive full-state prescribed performance position tracking controller is developed for hydraulic systems in which both the transient and steady performance of all the control errors can be prescribed. A stability analysis then confirms both the prescribed transient performance and the asymptotic steady performance of all the control errors. Finally, the superiority of the proposed controller is also validated by comparison with simulation results. Full article
(This article belongs to the Special Issue High-Performance Advanced Control for Electromechanical and Hydraulic Systems)
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