Event-Triggered Adaptive Control for a Class of Nonlinear Systems with Unknown Time-Varying Parameters

Event-Triggered Adaptive Control for a Class of Nonlinear Systems with Unknown Time-Varying Parameters

연구 분야: Software Development

학회: 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA)

In this paper, we investigate the event-triggered output tracking problem for a class of nonlinear systems with unknown time-varying parameters. To reduce the communication burden, an event-triggered adaptive control method is proposed by introducing hyperbolic tangent functions in the controller to compensate for the effects of the time-varying parameters. New estimation laws are developed to estimate the bounds of time-varying parameters, where no any prior information about the bounds of unknown time-varying parameters is required. An additional term is introduced in the parameter estimation law to compensate for the effects of unknown time-varying parameters. The proposed control scheme can effectively reduce the communication burden while maintain global stability of the closed-loop system, which means that all the signals are bounded. And the tracking error converges towards an adjustable set, which can be exactly expressed with the user-defined parameters. Simulation results are given to show the performance of the proposed method.