Robust Fuzzy Adaptive Finite-Time Control for High-Order Nonlinear Systems With Unmodeled Dynamics

被引:82
作者
Tong, Shaocheng [1 ,2 ]
Li, Kewen [3 ]
Li, Yongming [2 ]
机构
[1] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
[2] Liaoning Univ Technol, Dept Basic Math, Jinzhou 121001, Peoples R China
[3] Qufu Normal Univ, Inst Automat, Qufu 273165, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Control design; Adaptive systems; Fuzzy logic; Nonlinear dynamical systems; Stability analysis; Adaptive fuzzy control; finite-time control; high-order nonlinear system; unmodeled dynamics; SMALL-GAIN APPROACH; STATE-FEEDBACK; STABILIZATION; MODEL; STABILITY; TRACKING;
D O I
10.1109/TFUZZ.2020.2981917
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article studies the problem of the robust fuzzy adaptive finite-time control design for a class of single-input single-output high-order nonlinear systems. The considered plants contain unknown nonlinear functions, unmodeled dynamics, and dynamical disturbances. In this control design, fuzzy logic systems are utilized to approximate unknown nonlinear functions, and dynamical signal functions are introduced to solve unmodeled dynamics and dynamical disturbances. Under the framework of an adaptive backstepping control and adding a power integrator control design technique, a robust fuzzy adaptive finite-time control scheme is developed, which can not only guarantee the controlled system to be semiglobal practical finite-time stable, but also have the robustness to unmodeled dynamics and dynamical disturbances. Both numerical and practical simulation examples are provided to check the effectiveness of the proposed control method.
引用
收藏
页码:1576 / 1589
页数:14
相关论文
共 39 条
[1]   Globally stable model reference adaptive control based on fuzzy description of the plant [J].
Blazic, S ;
Skrjanc, I ;
Matko, D .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2002, 33 (12) :995-1012
[2]   Adaptive Practical Finite-Time Stabilization for Uncertain Nonstrict Feedback Nonlinear Systems With Input Nonlinearity [J].
Cai, Mingjie ;
Xiang, Zhengrong .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 47 (07) :1668-1678
[3]   Adaptive finite-time control for uncertain nonlinear systems with application to mechanical systems [J].
Cai, Mingjie ;
Xiang, Zhengrong ;
Guo, Jian .
NONLINEAR DYNAMICS, 2016, 84 (02) :943-958
[4]   Fuzzy-Approximation-Based Adaptive Control of Strict-Feedback Nonlinear Systems With Time Delays [J].
Chen, Bing ;
Liu, Xiaoping ;
Liu, Kefu ;
Lin, Chong .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2010, 18 (05) :883-892
[5]   Neural-Based Decentralized Adaptive Finite-Time Control for Nonlinear Large-Scale Systems With Time-Varying Output Constraints [J].
Du, Peihao ;
Liang, Hongjing ;
Zhao, Shiyi ;
Ahn, Choon Ki .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (05) :3136-3147
[6]   Adaptive Finite-Time Stabilization of a Class of Uncertain Nonlinear Systems via Logic-Based Switchings [J].
Fu, Jun ;
Ma, Ruicheng ;
Chai, Tianyou .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (11) :5998-6003
[7]   Global finite-time stabilization of a class of switched nonlinear systems with the powers of positive odd rational numbers [J].
Fu, Jun ;
Ma, Ruicheng ;
Chai, Tianyou .
AUTOMATICA, 2015, 54 :360-373
[8]   Adaptive finite-time stabilisation of a class of high-order nonlinear systems with inverse dynamics [J].
Huang, Shipei ;
Xiang, Zhengrong .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2017, 48 (11) :2321-2332
[9]   Adaptive finite-time control of uncertain nonlinear systems with the powers of odd rational numbers [J].
Jiang, Meng-Meng ;
Zhang, Kemei ;
Xie, Xue-Jun .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2018, 49 (14) :2912-2922
[10]   Design of robust adaptive controllers for nonlinear systems with dynamic uncertainties [J].
Jiang, ZP ;
Praly, L .
AUTOMATICA, 1998, 34 (07) :825-840