Dynamic Memory Event-Triggered Adaptive Control for a Class of Strict-Feedback Nonlinear Systems

被引:13
|
作者
Liu, Yuezhi [1 ,2 ]
Chen, Yong [1 ,2 ]
机构
[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Sichuan, Peoples R China
[2] Univ Elect Sci & Technol China, Inst Elect Vehicle Driving Syst & Safety Technol, Chengdu 611731, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Nonlinear dynamical systems; Adaptive systems; Adaptive control; Closed loop systems; Generators; Explosions; Data communication; Dynamic memory event-triggered mechanism; strict-feedback nonlinear system; adaptive control; dynamic surface control; TRACKING;
D O I
10.1109/TCSII.2022.3158359
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This brief presents a dynamic memory event-triggered mechanism based adaptive control strategy for a class of strict-feedback nonlinear systems. Firstly, the dynamic memory event-triggered mechanism (DMETM) is established, rigorous proof demonstrates that the triggering intervals of the proposed DMETM are larger than that of the memoryless dynamic event-triggered mechanism. Furthermore, the adaptive control strategy is designed via the dynamic surface control, by which the "explosion of complexity" in the backstepping design process is avoided. Additionally, the proposed DMETM based adaptive dynamic surface controller can guarantee the closed loop system to be semi-globally uniformly ultimately bounded (SGUUB). Finally, the simulation results illustrate the validity of the proposed control strategy.
引用
下载
收藏
页码:3470 / 3474
页数:5
相关论文
共 50 条
  • [21] Event-Triggered Adaptive Fuzzy Control for Uncertain Strict-Feedback Nonlinear Systems With Guaranteed Transient Performance
    Su, Xiaohang
    Liu, Zhi
    Lai, Guanyu
    Zhang, Yun
    Chen, C. L. Philip
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 27 (12) : 2327 - 2337
  • [22] Dwell-time-based event-triggered adaptive control for switched strict-feedback nonlinear systems
    Wang, Fenglan
    Long, Lijun
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2020, 30 (17) : 7052 - 7073
  • [23] Event-triggered adaptive control of strict-feedback nonlinear systems under output constraints and unknown control direction
    Wang, Chao
    Wang, Yujuan
    Dai, Yunfei
    Ma, Yu
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (11) : 5871 - 5891
  • [24] Adaptive event-triggered control for strict-feedback systems With time-varying parameters
    Tan, Yan
    Wu, Liucang
    Liu, Wenqi
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2024, 34 (05) : 3464 - 3480
  • [25] Dynamic Event-Triggered Control for a Class of Uncertain Strict-Feedback Systems via an Improved Adaptive Neural Networks Backstepping Approach
    Xu, Ning
    Liu, Xiang
    Li, Yulin
    Zong, Guangdeng
    Zhao, Xudong
    Wang, Huanqing
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, : 1 - 10
  • [26] Model-Based Event-Triggered Control of a Class of Strict-Feedback Nonlinear Discrete-Time Systems
    Wang, Min
    Ou, Fenghua
    Huang, Longwang
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 2949 - 2954
  • [27] Observer-based event-triggered recursive optimal tracking control for a class of strict-feedback nonlinear systems☆
    Zhang, Wenguang
    Yan, Jin
    ISA TRANSACTIONS, 2024, 145 : 148 - 162
  • [28] Decentralized event-triggered output feedback adaptive neural network control for a class of MIMO uncertain strict-feedback nonlinear systems with input saturation
    Bey, Oussama
    Chemachema, Mohamed
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2024, 38 (04) : 1420 - 1441
  • [29] Event-Triggered Adaptive Control of Uncertain Strict-Feedback Nonlinear Systems Using Fully Actuated System Approach
    Wang, Yuzhong
    Duan, Guangren
    Li, Ping
    IEEE TRANSACTIONS ON CYBERNETICS, 2024, : 6371 - 6383
  • [30] Estimator-based neural adaptive event-triggered control for strict-feedback nonlinear systems with incomplete measurements
    Wang, Zhongyi
    Yang, Yonghui
    INTERNATIONAL JOURNAL OF CONTROL, 2024,