Adaptive Event-Triggered Output Feedback Predictive Control for Nonlinear Network Systems Represented by Interval Type-2 T-S Fuzzy Model

被引：1
作者：
Tang, Xiaoming [1 ]
Li, Yu [1 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Coll Automat, Chongqing, Peoples R China
来源：
2020 CHINESE AUTOMATION CONGRESS (CAC 2020) | 2020年
关键词：
Adaptive event-triggered scheme; state observer; output feedback model predictive control; data loss; PACKET DROPOUTS;
D O I：
10.1109/CAC51589.2020.9327608
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming at the existence of bounded disturbance and data loss, a comprehensive algorithm of adaptive event-triggered model predictive control based on state observer and adaptive event-triggered scheme is proposed in this paper. Firstly, the mathematical model of nonlinear network control system is established by using interval Type-2 Takagi-Sugeno (T-S) fuzzy model. Then, the system observer is established to predict the state of the system, and the adaptive event-triggered scheme is addressed to avoid wasting network resources; A model predictive controller is proposed by optimizing the infinite horizon objective function which considers data loss and bounded disturbance via the S-procedure and LMI techniques. Finally, simulation results verify the effectiveness of the proposed control algorithm.
引用
收藏
页码：6590 / 6595
页数：6
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