Adaptive fixed-time fuzzy control for delayed recycling continuous stirred tank reactor with asymmetric time-varying full-state constraints

被引:0
作者
Chen, Yufei [1 ,2 ]
Tang, Bo [3 ,4 ]
Liu, Qihuai [3 ,4 ,5 ]
机构
[1] Guilin Univ Elect Technol, Sch Comp Sci & Informat Secur, Guilin 541004, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Math Sci, Shanghai 200240, Peoples R China
[3] Guilin Univ Elect Technol, Guangxi Coll, Sch Math & Comp Sci, Guilin 541004, Peoples R China
[4] Univ Key Lab Data Anal & Computat, Guilin Univ Elect Technol, Guilin 541004, Peoples R China
[5] Ctr Appl Math Guangxi GUET, Guilin 541001, Peoples R China
关键词
Adaptive fuzzy control; Fixed-time tracking; Time-varying asymmetric integral barrier; Lyapunov function; Nonlinear systems; TRACKING CONTROL; SYSTEMS;
D O I
10.1016/j.jfranklin.2024.107410
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, there are some results concerning stability and finite-time stability control for continuous stirred tank reactors (CSTR). However, when considering the control of time- delay CSTR systems or fixed-time stability of CSTR systems, there are relatively few articles involved. In this paper, we first consider the CSTR system that includes both of the above factors simultaneously, that is, the adaptive fixed-time fuzzy control design problem for a CSTR with a delayed recycle stream and asymmetric time-varying full-state constraints. Firstly, based on existing works, we present an improved practical fixed-time stability criterion, which can be applied to more complex nonlinear systems. Then, we construct time-varying asymmetric integral barrier Lyapunov functions to handle asymmetric time-varying full-state constraints. Next, fuzzy logic systems are used to approximate the unknown functions of the system, and a sliding mode differentiator is introduced to avoid the "explosion of complexity" of the time derivative of the virtual controller. Furthermore, using the improved practical fixed-time stability criterion, we present the adaptive fixed-time fuzzy controller design processes that can ensure tracking performance in a fixed-time, and states of the system never violate their constraint bounds. Finally, a simulation example is provided to verify the effectiveness of the proposed control strategy.
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页数:17
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共 46 条
  • [1] On the design of an unknown input observer to fault detection, isolation, and estimation for uncertain multi-delay nonlinear systems
    Azarbani, Ataollah
    Fakharian, Ahmad
    Menhaj, Mohammad Bagher
    [J]. JOURNAL OF PROCESS CONTROL, 2023, 128
  • [2] Fixed-time adaptive neural tracking control for a class of uncertain nonstrict nonlinear systems
    Ba, Desheng
    Li, Yuan-Xin
    Tong, Shaocheng
    [J]. NEUROCOMPUTING, 2019, 363 : 273 - 280
  • [3] Robust Constrained Control for MIMO Nonlinear Systems Based on Disturbance Observer
    Chen, Mou
    Shi, Peng
    Lim, Cheng-Chew
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (12) : 3281 - 3286
  • [4] Adaptive NN Backstepping Output-Feedback Control for Stochastic Nonlinear Strict-Feedback Systems With Time-Varying Delays
    Chen, Weisheng
    Jiao, Licheng
    Li, Jing
    Li, Ruihong
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2010, 40 (03): : 939 - 950
  • [5] Stability of port-Hamiltonian systems with mixed time delays subject to input saturation
    Chen, Yufei
    Liu, Qihuai
    [J]. NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2024, 29 (01): : 124 - 145
  • [6] New results on finite-time stability and H∞ control for nonlinear Hamiltonian systems
    Chen, Yufei
    Liu, Qihuai
    Zhou, Xia
    [J]. ASIAN JOURNAL OF CONTROL, 2024, 26 (03) : 1309 - 1322
  • [7] Fixed-time Synchronization of Coupled Memristive Complex-valued Neural Networks
    Feng, Liang
    Hu, Cheng
    Yu, Juan
    Jiang, Haijun
    Wen, Shiping
    [J]. CHAOS SOLITONS & FRACTALS, 2021, 148
  • [8] SMC for semi-Markov jump T-S fuzzy systems with time delay
    Gao, Meng
    Zhang, Lihua
    Qi, Wenhai
    Cao, Jinde
    Cheng, Jun
    Kao, Yonggui
    Wei, Yunliang
    Yan, Xiaoyu
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2020, 374
  • [9] Nonlinear adaptive control using neural networks and its application to CSTR systems
    Ge, SS
    Hang, CC
    Zhang, T
    [J]. JOURNAL OF PROCESS CONTROL, 1999, 9 (04) : 313 - 323
  • [10] Fixed-Time Rendezvous Control of Spacecraft With a Tumbling Target Under Loss of Actuator Effectiveness
    Jiang, Boyan
    Hu, Qinglei
    Friswell, Michael I.
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2016, 52 (04) : 1576 - 1586