Decentralized risk-sensitive design for large-scale stochastic interconnected systems with time-varying delays

被引：19
|
作者：
Xiong, Shuangshuang [1 ,2 ,3 ]
Zhu, Quanxin [1 ,2 ,4 ]
机构：
[1] Nanjing Normal Univ, Sch Math Sci, Nanjing 210023, Jiangsu, Peoples R China
[2] Nanjing Normal Univ, Inst Finance & Stat, Nanjing 210023, Jiangsu, Peoples R China
[3] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Adv Control Syst Lab, Beijing 100044, Peoples R China
[4] Univ Bielefeld, Dept Math, D-33615 Bielefeld, Germany
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2016年 / 353卷 / 07期
基金：
中国国家自然科学基金;
关键词：
FEEDFORWARD NONLINEAR-SYSTEMS; GLOBAL MU-STABILITY; FEEDBACK STABILIZATION; CONTROLLER-DESIGN; NEURAL-NETWORKS;
D O I：
10.1016/j.jfranklin.2015.12.012
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the problem of risk-sensitivity for a class of large-scale interconnected stochastic nonlinear systems with unbounded time-varying delays is investigated. The design procedure is dedicated to designing a decentralized controller by using only local measurements in each subsystems, and the designed controller can guarantee any desired achievable level of long-term average cost for a given risk-sensitivity parameter p. Under some suitable conditions, we prove the globally asymptotic stability in probability by applying the design procedure. Finally, two examples are presented to illustrate our results. (C) 2016 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：1527 / 1552
页数：26
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