Non-affine nonlinear adaptive control of decentralized large-scale systems using neural networks

被引：56
作者：
Karimi, Bahram [1 ]
Menhaj, Mohammad Bagher [1 ]
机构：
[1] Amirkabir Univ Technol, Tehran, Iran
来源：
INFORMATION SCIENCES | 2010年 / 180卷 / 17期
关键词：
Decentralized non-affine nonlinear systems; Adaptive control; Radial basis neural networks (RBNN); FUZZY CONTROL; DYNAMIC-SYSTEMS; IDENTIFICATION; DESIGN;
D O I：
10.1016/j.ins.2010.05.016
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 paper introduces a new decentralized adaptive neural network controller for a class of large-scale nonlinear systems with unknown non-affine subsystems and unknown interconnections represented by nonlinear functions. A radial basis function neural network is used to represent the controller's structure. The stability of the closed loop system is guaranteed through Lyapunov stability analysis. The effectiveness of the proposed decentralized adaptive controller is illustrated by considering two nonlinear systems: a two-inverted pendulum and a turbo generator. The simulation results verify the merits of the proposed controller. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码：3335 / 3347
页数：13
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