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
基金
中国国家自然科学基金; 新加坡国家研究基金会;
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
收藏
页码:5992 / 6005
页数:14
相关论文
共 39 条
  • [31] Nonfragile State Estimation of Quantized Complex Networks With Switching Topologies
    Wu, Zheng-Guang
    Xu, Zhaowen
    Shi, Peng
    Chen, Michael Z. Q.
    Su, Hongye
    [J]. 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
    Zhai, Ding
    An, Liwei
    Dong, Jiuxiang
    Zhang, Qingling
    [J]. AUTOMATICA, 2018, 97 : 48 - 57
  • [34] Switched Adaptive Fuzzy Tracking Control for a Class of Switched Nonlinear Systems Under Arbitrary Switching
    Zhai, Ding
    An, Liwei
    Dong, Jiuxiang
    Zhang, Qingling
    [J]. 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
    Zhang, Dan
    Feng, Gang
    [J]. 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
    Zhang, Dawei
    Han, Qing-Long
    Jia, Xinchun
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2015, 45 (08) : 1511 - 1524
  • [37] Asynchronous Filtering of Discrete-Time Switched Linear Systems With Average Dwell Time
    Zhang, Lixian
    Cui, Naigang
    Liu, Ming
    Zhao, Ye
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2011, 58 (05) : 1109 - 1118
  • [38] Quantized Feedback Control of Fuzzy Markov Jump Systems
    Zhang, Meng
    Shi, Peng
    Ma, Longhua
    Cai, Jianping
    Su, Hongye
    [J]. 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
    Zheng, Qunxian
    Zhang, Hongbin
    Zheng, Dianhao
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2017, 15 (03) : 986 - 994