Adaptive Regulation for Hammerstein and Wiener Systems with Event-Triggered Observations  

作　　者：REN Xiaotao ZHAO Wenxiao GAO Jinwu 

机构地区：[1]Key Laboratory of Systems and Control,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China [2]Department of Control Science and Engineering,Jilin University,Changchun 130025,China

出　　处：《Journal of Systems Science & Complexity》2023年第5期1878-1904,共27页系统科学与复杂性学报（英文版）

基　　金：supported by the National Key Research and Development Program of China under Grant No.2018YFA0703800;the Chinese Academy of Sciences(CAS)Project for Young Scientists in Basic Research under Grant No.YSBR-008;the Strategic Priority Research Program of CAS under Grant No.XDA27000000。

摘　　要：The paper considers the adaptive regulation for the Hammerstein and Wiener systems with event-triggered observations.The authors adopt a direct approach,i.e.,without identifying the unknown parameters and functions within the systems,adaptive regulators are directly designed based on the event-triggered observations on the regulation errors.The adaptive regulators belong to the stochastic approximation algorithms and under moderate assumptions,the authors prove that the adaptive regulators are optimal for both the Hammerstein and Wiener systems in the sense that the squared regulation errors are asymptotically minimized.The authors also testify the theoretical results through simulation studies.

关 键 词：Adaptive regulation event-triggered observation Hammerstein system stochastic approximation algorithm Wiener system 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]