Finite-time control for periodic systems with Markov jump sensor nonlinearities and random input gains

被引：8
作者：
Rao, Hong-Xia [1 ,2 ]
Xu, Yong [1 ,2 ]
Liu, Chang [1 ,2 ]
Li, Jun-Yi [1 ,2 ]
机构：
[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
[2] Guangdong Key Lab IoT Informat Technol, Guangzhou 510006, Guangdong, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2018年 / 355卷 / 10期
基金：
中国国家自然科学基金;
关键词：
H-INFINITY CONTROL; SLIDING MODE CONTROL; VARYING DELAY; ROBUST STABILITY; LINEAR-SYSTEMS; STABILIZATION; NETWORKS; DESIGN;
D O I：
10.1016/j.jfranklin.2018.03.014
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Finite-time control for periodic systems with sensor nonlinearities and random input gains is addressed in this work. The variation of sensor nonlinearities is modeled by a Markov chain, and a stochastic variable is used to describe the influence of the actuator. A mode- and sensor nonlinearity-dependent non-fragile controller is designed to improve the performance and the non-fragility of the controller. The finite-time boundedness of the closed-loop system is ensured by a sufficient condition, the corresponding controller is then designed. Finally, the effectiveness of the developed results is illustrated by a numerical example. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：4097 / 4110
页数：14
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