Fault‐Tolerant Adaptive Prescribed‐Time Event‐Triggered Integral Sliding Mode Control for Nonlinear Networked Systems Under Dynamic Quantization

ABSTRACT In this paper, we study the adaptive sliding mode control (SMC) problem for a class of uncertain nonlinear systems with actuator faults, using a prescribed‐time (PT) control framework. For addressing the actuator fault issue, we employ fault‐tolerant control (FTC); in the face of networked control systems (NCSs), we adopt event‐triggered and quantization methods to improve transmission efficiency. First, we design integral sliding mode surfaces and switching terms to effectively suppress the impact of quantization errors and nonlinearities on system performance. Next, we introduce a dynamic event‐triggered mechanism and a dynamic quantizer to develop a discrete control framework that does not assume input state stability constraints. The nonperiodic discrete control method can significantly improve the data transmission efficiency of NCS. Furthermore, based on adaptive parameter estimation, a new adaptive prescribed‐time sliding mode (APTSM) controller is proposed, which ensures global PT stability for nonlinear systems with actuator faults, and guarantees the reachability of the sliding mode surface under PT conditions, preventing the occurrence of Zeno phenomena during event‐triggered sampling. Finally, the practicality of the designed control method is validated through numerical simulations and manipulation systems.