Event-Triggered Optimal Nonlinear Systems Control Based on State Observer and Neural Network

作     者：CHENG Songsong LI Haoyun GUO Yuchao PAN Tianhong FAN Yuan CHENG Songsong;LI Haoyun;GUO Yuchao;PAN Tianhong;FAN Yuan

作者机构：Anhui Engineering Laboratory of Human-Robot Integration System and Intelligent EquipmentSchool of Electrical Engineering and AutomationAnhui UniversityHefei 230601China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of EducationSchool of Electrical Engineering and AutomationAnhui UniversityHefei 230601China 

出 版 物：《Journal of Systems Science & Complexity》 (系统科学与复杂性学报（英文版）)

年 卷 期：2023年第36卷第1期

页      面：222-238页

核心收录：

学科分类：0711[理学-系统科学] 08[工学] 081104[工学-模式识别与智能系统] 0811[工学-控制科学与工程] 

基　　金：supported by the National Natural Science Foundation of China under Grant Nos.61973002,62103003 the Anhui Provincial Natural Science Foundation under Grant No.2008085J32 the National Postdoctoral Program for Innovative Talents under Grant No.BX20180346 the General Financial Grant from the China Postdoctoral Science Foundation under Grant No.2019M660834 the Excellent Young Talents Program in Universities of Anhui Province under Grant No.gxyq2019002. 

主　　题：Event-triggered control neural network optimal control state observer 

摘      要：This paper develops a novel event-triggered optimal control approach based on state observer and neural network(NN)for nonlinear continuous-time systems.Firstly,the authors propose an online algorithm with critic and actor NNs to solve the optimal control problem and provide an event-triggered method to reduce communication and computation burdens.Moreover,the authors design weight estimation for critic and actor NNs based on gradient descent method and achieve uniformly ultimate boundednesss(UUB)estimation results.Furthermore,by using bounded NN weight estimation and dead-zone operator,the authors propose a triggering condition,prove the asymptotic stability of closed-loop system from Lyapunov stability perspective,and exclude the Zeno behavior.Finally,the authors provide a numerical example to illustrate the effectiveness of the proposed method.