Adaptive fuzzy backstepping dynamic surface control for nonlinear Input-delay systems

被引:39
作者
Zhou, Qi [1 ]
Wu, Chengwei [1 ,2 ]
Jing, Xingjian [2 ,3 ]
Wang, Lijie [4 ]
机构
[1] Bohai Univ, Coll Informat Sci & Technol, Jinzhou 121013, Peoples R China
[2] Hong Kong Polytech Univ, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China
[3] Hong Kong Polytech Univ, Shenzhen Res Inst, Shenzhen 518057, Peoples R China
[4] Bohai Univ, Sch Math & Phys, Jinzhou 121013, Peoples R China
基金
中国国家自然科学基金;
关键词
Fuzzy adaptive control; Dynamic surface control; Backstepping control; Input delay; OUTPUT-FEEDBACK CONTROL; SLIDING MODE CONTROL; TIME-VARYING DELAY; TRACKING CONTROL; NEURAL-CONTROL; DESIGN;
D O I
10.1016/j.neucom.2015.12.116
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 investigates the problem of fuzzy adaptive backstepping control for a category of nonlinear strict-feedback systems. Input delay is considered in the design process. Fuzzy logic systems are used to identify the unknown nonlinear functions existing in the systems. To handle the input delay, an integral item is introduced. For the general problem of "explosion of complexity" in adaptive backstepping control approach, dynamic surface control technique is introduced to avoid it. Based on the adaptive backstepping control approach, a fuzzy adaptive controller with adaptive parameters is constructed to guarantee all signals of the closed-loop system are bounded and system states can be regulated to the origin. Finally, simulation results are provided to illustrate the effectiveness of the proposed methodology. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:58 / 65
页数:8
相关论文
共 47 条
[1]   Novel adaptive neural control design for nonlinear MIMO time-delay systems [J].
Chen, Bing ;
Liu, Xiaoping ;
Liu, Kefu ;
Lin, Chong .
AUTOMATICA, 2009, 45 (06) :1554-1560
[2]   Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System [J].
Chen, Mou ;
Shi, Peng ;
Lim, Cheng-Chew .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 46 (02) :260-270
[3]   Robust Constrained Control for MIMO Nonlinear Systems Based on Disturbance Observer [J].
Chen, Mou ;
Shi, Peng ;
Lim, Cheng-Chew .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (12) :3281-3286
[4]   Motion/force tracking control of nonholonomic mechanical systems via combining cascaded design and backstepping [J].
Fu, Jun ;
Chai, Tianyou ;
Su, Chun-Yi ;
Jin, Ying .
AUTOMATICA, 2013, 49 (12) :3682-3686
[5]   Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients [J].
Ge, SZS ;
Hong, F ;
Lee, TH .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2004, 34 (01) :499-516
[6]   Sampled-data fuzzy controller for time-delay nonlinear systems: Fuzzy-model-based LMI approach [J].
Lam, H. K. ;
Leung, Frank H. F. .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2007, 37 (03) :617-629
[7]  
Li H.S., IEEE T CYBERN
[8]   Switched Fuzzy Output Feedback Control and Its Application to a Mass-Spring-Damping System [J].
Li, Hongyi ;
Pan, Yingnan ;
Shi, Peng ;
Shi, Yan .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2016, 24 (06) :1259-1269
[9]   Output-Feedback Based Sliding Mode Control for Fuzzy Systems With Actuator Saturation [J].
Li, Hongyi ;
Wang, Jiahui ;
Shi, Peng .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2016, 24 (06) :1282-1293
[10]   Adaptive Sliding Mode Control for Interval Type-2 Fuzzy Systems [J].
Li, Hongyi ;
Wang, Jiahui ;
Lam, Hak-Keung ;
Zhou, Qi ;
Du, Haiping .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 46 (12) :1654-1663