Adaptive Fault-Tolerant Control Strategies for Uncertain Nonlinear Systems: Mitigating Actuator Faults

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

Deadline for manuscript submissions: 31 August 2025 | Viewed by 321

Special Issue Editors


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Guest Editor
School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China
Interests: multi-agent system; nonlinear control; neural network; intelligent control

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Co-Guest Editor
School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China
Interests: distributed observers; multi-agent system; adaptive control; stochastic systems; robotics
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Special Issue Information

Dear Colleagues,

With the rapid technological advancements in modern engineering control, the demands for performance and reliability have been escalating in complex systems such as aerospace vehicles, robotic systems, and industrial process controls. These systems often exhibit high degrees of nonlinearity and inevitably encounter various uncertainties (e.g., variations in model parameters and external disturbances) during their operations. More critically, actuators, as the direct control elements of system outputs, frequently experience failures, which have emerged as one of the pivotal factors impacting the stable operation and safety of these systems. Distinct from traditional uncertain nonlinear systems, when considering the diverse actuator failure models, it remains a formidable challenge to automatically adjust controller parameters or structures based on real-time system states during operation in order to counter the uncertainties in system parameters and external disturbances and to ensure that the system maintains a certain level of performance even in the face of failures. Given these considerations, this Special Issue aims to bring together researchers, scholars, and engineers to discuss and share their latest advancements, discoveries, and experiences in this field.

This Special Issue will include but is not limited to the following topics:

  • Nonlinear systems;
  • System modeling;
  • Neural networks;
  • Fuzzy system;
  • Stability analysis;
  • Multi-agent systems;
  • Adaptive fault-tolerant control;
  • Actuator failures;
  • Machine learning;
  • Intelligent control;
  • Model predictive control;
  • Robust adaptive control;

Industrial robots or mobile robots.

Dr. Jianhui Wang
Dr. Kairui Chen
Guest Editors

Zikai Hu
Guest Editor Assistant

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 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • nonlinear systems
  • multi-agent systems
  • adaptive fault-tolerant control
  • actuator failures
  • model predictive control
  • industrial robots or mobile robots

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Published Papers (1 paper)

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20 pages, 820 KiB  
Article
Fixed-Time Adaptive Event-Triggered Control for Uncertain Nonlinear Systems Under Full-State Constraints
by Yue Zhang, Jietao Dai, Zhenzhang Liu, Ruizhi Tang, Guoxiong Zheng and Jianhui Wang
Actuators 2025, 14(5), 231; https://doi.org/10.3390/act14050231 - 5 May 2025
Viewed by 52
Abstract
The problem of adaptive event-triggered control for uncertain nonlinear systems with full-state constraints was investigated. State constraints can significantly affect system performance, especially when time-varying external disturbances are present, potentially leading to instability. Thus, a fixed-time disturbance observer was designed. It estimated unknown [...] Read more.
The problem of adaptive event-triggered control for uncertain nonlinear systems with full-state constraints was investigated. State constraints can significantly affect system performance, especially when time-varying external disturbances are present, potentially leading to instability. Thus, a fixed-time disturbance observer was designed. It estimated unknown uncertainties within a predetermined time. Meanwhile, an asymmetric barrier Lyapunov function was developed. It ensured the stability of the system state under constraints. Furthermore, to reduce the utilization rate of the system’s communication resources, an adaptive event-triggered control scheme was proposed, and an integrated control method was established to preset the convergence time of the system’s state error, greatly improving the convergence speed. Theoretical analysis and simulations demonstrated the effectiveness of the proposed approach. The results show that the system achieved stable control within a fixed time, even under full-state constraints and external disturbances, while using fewer communication resources. Full article
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