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Event-triggered tracking control of strict-feedback nonlinear systems with output constraints via an adaptive
Mengqing Cheng1, Shuo Shan1, Junsheng Zhao2
1Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, School of Automation, Southeast University, Nanjing 210096, China.
Abstract:
This paper develops an event-triggered adaptive tracking control scheme for strict-feedback nonlinear systems with output constraints. Current methods remain conservative and lack mechanisms for controllable constraint deactivation. To meet both safety and performance requirements, an adaptive constraint-handling mechanism (ACHM) is designed to modulate the constraint effect based on the system state and autonomously deactivate it once the tracking error enters a state-dependent safe region. A state-dependent shift function characterizes the deactivation process and ensures a smooth, analytically tractable transition between constrained and unconstrained phases. Embedding this function into an error-transformation framework yields a self-regulating constraint region that tightens for large errors and relaxes as the error decreases, reducing conservatism without compromising safety. Moreover, a dynamic event-triggered mechanism (DETM) with an error-dependent threshold is incorporated into the adaptive control strategy, enhancing transient responsiveness and significantly reducing communication load. A simulation study on a spring-mass-damper system verifies the effectiveness and advantages of the proposed method.
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