Adaptive quantized control of switched stochastic nonlinear systems

被引：31
|
作者：
Wang, Fang [1 ,2 ]
Chen, Bing [1 ]
Lin, Chong [1 ]
Li, Gang [2 ]
Sun, Yumei [1 ]
机构：
[1] Qingdao Univ, Inst Complex Sci, Qingdao 266071, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao, Shandong, Peoples R China
来源：
NEUROCOMPUTING | 2016年 / 207卷
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Adaptive fuzzy control; Backstepping technique; Switched stochastic nonlinear systems; Quantized input; TRACKING CONTROL; LINEAR-SYSTEMS; FEEDBACK STABILIZATION; STABILITY; STABILIZABILITY; DESIGN; TIMES;
D O I：
10.1016/j.neucom.2016.05.024
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper is concerned with a tracking control issue for a class of switched stochastic systems with quantized input. To overcome the difficulty caused by the switching and quantization, a nonlinear decomposition strategy for quantizer is firstly proposed, then by using the common Lyapunov function method, a systematic adaptive control scheme is presented. It is proved that, under the proposed control scheme, the good control performance is obtained although influenced by the effect of switching and quantization. Furthermore, the validity of the proposed control scheme is verified by the simulation results. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码：450 / 456
页数：7
相关论文
共 50 条
  • [31] Adaptive Fuzzy Tracking Control of Nonlinear Switched Stochastic Systems With Prescribed Performance and Unknown Control Directions
    Liu, Yanli
    Ma, Hongjun
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 50 (02): : 590 - 599
  • [32] Command-filter-based adaptive output feedback quantized tracking control for switched stochastic nonlinear time-delay systems with actuator saturation
    Wu, Tiantian
    Yang, Yekai
    Li, Shugang
    Yu, Zhaoxu
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 32 (12) : 6866 - 6887
  • [33] Adaptive quantized control for uncertain nonlinear systems with unknown control directions
    Wu, Jing
    Sun, Wei
    Su, Shun-Feng
    Wu, Yuqiang
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (17) : 8658 - 8671
  • [34] Adaptive fuzzy finite-time quantized control for stochastic nonlinear systems with full state constraints
    Zhang, Jun
    Tong, Shaocheng
    Sui, Shuai
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2021, 35 (05) : 727 - 747
  • [35] Adaptive Neural Quantized Control for a Class of MIMO Switched Nonlinear Systems With Asymmetric Actuator Dead-Zone
    Xie, Kan
    Lyu, Ziliang
    Liu, Zhi
    Zhang, Yun
    Chen, C. L. Philip
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 31 (06) : 1927 - 1941
  • [36] Distributed adaptive consensus tracking control for stochastic nonlinear multi-agent systems with quantized input
    Hu Zilun
    Yang Jianying
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 4931 - 4936
  • [37] Adaptive Fuzzy Control Design for Stochastic Nonlinear Switched Systems With Arbitrary Switchings and Unmodeled Dynamics
    Li, Yongming
    Sui, Shuai
    Tong, Shaocheng
    IEEE TRANSACTIONS ON CYBERNETICS, 2017, 47 (02) : 403 - 414
  • [38] Adaptive output feedback control for a class of switched stochastic nonlinear time-delay systems
    Yuan, Manman
    Zhai, Junyong
    INTERNATIONAL JOURNAL OF CONTROL, 2023, 96 (01) : 110 - 123
  • [39] Full State Constrained Adaptive Fuzzy Control for Stochastic Nonlinear Switched Systems With Input Quantization
    Wang, Zheng
    Yuan, Jianping
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28 (04) : 645 - 657
  • [40] Fuzzy Adaptive Tracking Control of Constrained Nonlinear Switched Stochastic Pure-Feedback Systems
    Yin, Shen
    Yu, Han
    Shahnazi, Reza
    Haghani, Adel
    IEEE TRANSACTIONS ON CYBERNETICS, 2017, 47 (03) : 579 - 588
12345