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

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

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