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Event-triggered based predictive iterative learning control with random packet loss compensation for nonlinear
Qiongxia Yu1, Zhihao Fan1, Xuhui Bu1
1Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment, School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454003, China.
Abstract:
In this paper, a novel event-triggered predictive iterative learning control (ET-PILC) method with random packet loss compensation (RPLC) mechanism is proposed for unknown nonlinear networked systems with random packet loss (RPL). First, a new RPLC mechanism is designed by utilizing both the historical and predictive data information to avoid the deterioration of control performance due to RPL. Then, a new event-triggered condition is designed based on the proposed RPLC mechanism to save communication resources and reduce computational burden. Moreover, the convergence of the modeling error and tracking control error are analyzed theoretically, and simulation results are given to demonstrate the effectiveness of the proposed method further.
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