Event-Triggered Adaptive Dynamic Programming for Uncertain Nonlinear Systems

被引：0

作者：

Zhang, Qichao ^{[1
,2
]}

Zhao, Dongbin ^{[1
,2
]}

Wang, Ding ^{[1
,2
]}

机构：

[1] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China

[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

来源：

COGNITIVE SYSTEMS AND SIGNAL PROCESSING, ICCSIP 2016 | 2017年 / 710卷

基金：

中国国家自然科学基金;

关键词：

Adaptive dynamic programming; Event-triggered control; Robust control; Neural network; CONTROL DESIGN; ROBUST-CONTROL;

D O I：

10.1007/978-981-10-5230-9_2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the robust control for a class of continuous-time nonlinear system with unmatched uncertainties is investigated using an event-triggered adaptive dynamic programming method. First, the robust control problem is solved using the optimal control method. Under the event-triggered mechanism, the solution of the optimal control problem can asymptotically stabilize the uncertain system with an designed triggering condition. That is, the designed event-triggered controller is robust to the original uncertain system. Then, a single critic network structure with experience replay technique is constructed to approach the optimal control policies. Finally, a simulation example is provided to demonstrate the effectiveness of the proposed control scheme.

引用

页码：13 / 26

页数：14

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