Adaptive fuzzy PD control with stable H∞ tracking guarantee

被引:32
|
作者
Pan, Yongping [1 ]
Er, Meng Joo [2 ]
Sun, Tairen [3 ]
Xu, Bin [4 ]
Yu, Haoyong [1 ]
机构
[1] Natl Univ Singapore, Dept Biomed Engn, Singapore 117583, Singapore
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
[3] Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang 212013, Peoples R China
[4] Northwestern Polytech Univ, Sch Automat, Xian 710072, Peoples R China
关键词
Adaptive control; Disturbance; Neuro-fuzzy system; H-infinity tracking; Nonlinear system; Uncertainty; MIMO NONLINEAR-SYSTEMS; OUTPUT-FEEDBACK CONTROLLER; NEURAL-NETWORK CONTROL; SISO SYSTEMS; UNCERTAIN; DESIGN; OBSERVER; MODEL; STATE;
D O I
10.1016/j.neucom.2016.08.091
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
For indirect adaptive fuzzy H-infinity tracking control (AFHC) of perturbed uncertain nonlinear systems, sliding mode control (SMC) Compensation usually has to be applied to ensure Stability and H-infinity robustness of the closed-loop system. We prove that indirect AFHC without SMC compensation is sufficient to guarantee stable H-infinity tracking under given initial conditions and parameter constraints. The control structure only includes an indirect adaptive fuzzy control term and a proportional derivative (PD) control term. A certainty equivalent control law is slightly modified such that both a lumped perturbation and adaptive laws are independent of the PD control term. This Modification is significant since it not only plays a key role in stability analysis, but also alleviates some drawbacks of existing AFHC approaches for practical applications. An illustrative example has been provided to verify correctness of the theoretical result. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:71 / 78
页数:8
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