Static output feedback control of switched systems with quantization: A nonhomogeneous sojourn probability approach

被引：88

作者：

Cheng, Jun ^{[1
]}

Park, Ju H. ^{[2
]}

Zhao, Xudong ^{[3
]}

Cao, Jinde ^{[4
]}

Qi, Wenhai ^{[5
]}

机构：

[1] Guangxi Normal Univ, Coll Math & Stat, Guilin, Peoples R China

[2] Yeungnam Univ, Dept Elect Engn, 214-1 Dae Dong, Kyongsan 712749, South Korea

[3] Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian, Peoples R China

[4] Southeast Univ, Sch Math, Nanjing, Jiangsu, Peoples R China

[5] Qufu Normal Univ, Sch Engn, Rizhao, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 2019年 / 29卷 / 17期

基金：

新加坡国家研究基金会; 中国国家自然科学基金;

关键词：

nonhomogeneous sojourn probability; static output feedback control; switched systems; quantization effect; NONLINEAR-SYSTEMS; STABILIZATION;

D O I：

10.1002/rnc.4703

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The present work deals with the problem of static output feedback control for discrete-time switched systems (SSs) with quantization effects. Different from the existing results on SSs, a more general model with respect to a new switching rule (SR) is explored by utilizing a nonhomogeneous sojourn probability approach. Both control input and measured output are quantized by the mode-dependent static logarithmic quantizers, respectively. To decrease the conservatism and eliminate the coupling parameters, a descriptor technology is employed in the static output feedback control scheme. In the framework of the time-dependent SR, sufficient conditions are proposed to guarantee the mean square stability of resulting systems. Finally, an example is expressed to demonstrate the applicability and validity of the developed theoretical results.

引用

页码：5992 / 6005

页数：14

共 39 条

[31] Nonfragile State Estimation of Quantized Complex Networks With Switching Topologies [J].

Wu, Zheng-Guang ;

Xu, Zhaowen ;

Shi, Peng ;

Chen, Michael Z. Q. ;

Su, Hongye .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29 (10) :5111-5121

[32]

ZHAI D, 2018, IEEE T NEUR NET LEAR, V29, P631, DOI DOI 10.1109/TNNLS.2016.2639290

[33] Output feedback adaptive sensor failure compensation for a class of parametric strict feedback systems [J].

Zhai, Ding ;

An, Liwei ;

Dong, Jiuxiang ;

Zhang, Qingling .

AUTOMATICA, 2018, 97 :48-57

[34] Switched Adaptive Fuzzy Tracking Control for a Class of Switched Nonlinear Systems Under Arbitrary Switching [J].

Zhai, Ding ;

An, Liwei ;

Dong, Jiuxiang ;

Zhang, Qingling .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26 (02) :585-597

[35] A New Switched System Approach to Leader-Follower Consensus of Heterogeneous Linear Multiagent Systems With DoS Attack [J].

Zhang, Dan ;

Feng, Gang .

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (02) :1258-1266

[36] Network-Based Output Tracking Control for a Class of T-S Fuzzy Systems That Can Not Be Stabilized by Nondelayed Output Feedback Controllers [J].

Zhang, Dawei ;

Han, Qing-Long ;

Jia, Xinchun .

IEEE TRANSACTIONS ON CYBERNETICS, 2015, 45 (08) :1511-1524

[37] Asynchronous Filtering of Discrete-Time Switched Linear Systems With Average Dwell Time [J].

Zhang, Lixian ;

Cui, Naigang ;

Liu, Ming ;

Zhao, Ye .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2011, 58 (05) :1109-1118

[38] Quantized Feedback Control of Fuzzy Markov Jump Systems [J].

Zhang, Meng ;

Shi, Peng ;

Ma, Longhua ;

Cai, Jianping ;

Su, Hongye .

IEEE TRANSACTIONS ON CYBERNETICS, 2019, 49 (09) :3375-3384

[39] Stability and Asynchronous Stabilization for a Class of Discrete-time Switched Nonlinear Systems with Stable and Unstable Subsystems [J].

Zheng, Qunxian ;

Zhang, Hongbin ;

Zheng, Dianhao .

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2017, 15 (03) :986-994

← 1 2 3 4 →