Composite Adaptive Fuzzy Finite-Time Quantized Control for Full State-Constrained Nonlinear Systems and Its Application

被引:35
作者
Song, Shuai [1 ]
Park, Ju H. [2 ]
Zhang, Baoyong [1 ]
Song, Xiaona [3 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
[2] Yeungnam Univ, Dept Elect Engn, Gyongsan 38541, South Korea
[3] Henan Univ Sci & Technol, Sch Informat Engn, Luoyang 467023, Peoples R China
来源
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2022年 / 52卷 / 04期
基金
新加坡国家研究基金会; 中国国家自然科学基金;
关键词
Nonlinear systems; Adaptive systems; Backstepping; Fractional calculus; System performance; Quantization (signal); Fuzzy logic; Adaptive finite-time control; fractional-order dynamic surface control (FODSC); full state constrains; fuzzy logic systems (FLSs); nonlinear systems; TRACKING CONTROL;
D O I
10.1109/TSMC.2021.3051352
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article studies the adaptive finite-time quantized tracking control problem for a class of full state-constrained nonlinear systems with unknown control directions based on a modified fractional-order dynamic surface control (FODSC) technique. First, fractional calculus is introduced to filter design to avoid the issue of the ``explosion of complexity'' exposed in the traditional backstepping technique. To facilitate the control design, barrier Lyapunov functions and Nussbaum gain technique are utilized to handle full state-constrained problem and the unknown control directions, respectively. In addition, the fuzzy logic systems are employed to approximate the unknown nonlinearity of the system. By integrating with the approximation errors and compensating signals, a composite adaptive quantized controllers is designed to guarantee all the signals of the closed-loop systems are bounded and tracking error converges to an arbitrarily small neighborhood of the zero within a finite time. Finally, a mechanical horizontal platform model and a Brusselator model are carried out to verify the effectiveness of the presented control method.
引用
收藏
页码:2479 / 2490
页数:12
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