Optimal Compensation of Bounded External Disturbances and Measurement Noises for Nonlinear Systems

被引：0

作者：

Peregudin, Alexey ^{[1
]}

Furtat, Igor B. ^{[1
,2
]}

机构：

[1] ITMO Univ, St Petersburg, Russia

[2] RAS, IPME, Moscow, Russia

来源：

IFAC PAPERSONLINE | 2018年 / 51卷 / 33期

基金：

俄罗斯科学基金会;

关键词：

Optimal control; robust control; nonlinear systems; optimization; iterative algorithms; invariant ellipsoids; S-procedure; CONTROLLERS;

D O I：

10.1016/j.ifacol.2018.12.076

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper is dedicated to the problem of compensation of bounded external disturbances in the presence of bounded measurement noises for nonlinear systems. The synthesis of a linear feedback controller minimizing the size of invariant ellipsoids of a closed loop system is considered. Based on the method of Lyapunov functions, S-procedure and the alternating optimization method, an iterative algorithm for finding optimal controller parameters is proposed. The efficiency of the obtained algorithm is demonstrated. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：7 / 11

页数：5

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