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：
中国国家自然科学基金; 中国博士后科学基金;
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
  • [41] Observer-Based Adaptive Fuzzy Control for Switched Stochastic Nonlinear Systems With Partial Tracking Errors Constrained
    Sui, Shuai
    Li, Yongming
    Tong, Shaocheng
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 46 (12): : 1605 - 1617
  • [42] Observer-Based Adaptive Output-Feedback Quantized Control for Switched Stochastic Nonlinear Time-Delay Systems
    Yang, Yekai
    Yu, Zhaoxu
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 477 - 482
  • [43] Adaptive output feedback reinforcement learning control for continuous time switched stochastic nonlinear systems with unknown control coefficients and full-state constraints
    Li, Hongyao
    Wang, Fuli
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2024, 55 (02) : 332 - 354
  • [44] Finite time control of switched stochastic nonlinear systems
    Wang, Fang
    Chen, Bing
    Sun, Yumei
    Lin, Chong
    FUZZY SETS AND SYSTEMS, 2019, 365 : 140 - 152
  • [45] 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
  • [46] Fuzzy-based adaptive event-triggered control for switched stochastic nonlinear systems with state constraints
    Liu, Yongchao
    Zhu, Qidan
    ASIAN JOURNAL OF CONTROL, 2022, 24 (04) : 1713 - 1725
  • [47] Neural network based adaptive prescribed performance control for a class of switched nonlinear systems
    Tang, Li
    Zhao, Jun
    NEUROCOMPUTING, 2017, 230 : 316 - 321
  • [48] Adaptive quantised control for switched uncertain nonlinear systems with unknown control directions
    Song, Zhibao
    Zhai, Junyong
    INTERNATIONAL JOURNAL OF CONTROL, 2021, 94 (06) : 1502 - 1511
  • [49] Adaptive neural tracking control for a class of switched uncertain nonlinear systems
    Zheng, Xiaolong
    Zhao, Xudong
    Li, Ren
    Yin, Yunfei
    NEUROCOMPUTING, 2015, 168 : 320 - 326
  • [50] Adaptive fuzzy PI tracking control for a class of switched nonlinear systems
    Li, Hongyao
    Sun, Haibin
    Hou, Linlin
    Lan, Qixun
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 532 - 537
12345