一类非线性大系统的间接自适应分散神经网络控制

Journal of Applied Sciences ›› 2002, Vol. 20 ›› Issue (1): 66-69.

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Indirect Adaptive Decentralized Neurcontrol for a Kind of Nonlinear Large Scale System

HU Shou-song, ZHANG Rui

AutomationInstitute, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received:2000-06-22 Revised:2000-11-20 Online:2002-03-31 Published:2002-03-31

Abstract

Abstract: An indirect adaptive decentralized neurcontrol is proposed for a kind of nonlinear large scale systems by adopting a decentralized control mode. Fuzzy neural network is used to identify the subsystem for building NARMA model and adjusting the parameter of the controller. Besides, the adaptive control and sliding-model-control method is used to extinguish nonlinear interconnection between each subsystems and disturbances with unknown bounds. The indirect adaptive decentralized neurcontrol controller is verified by its application to a double inverted pendulum system, the results of simulation confirm the effectiveness of the proposed algorithm.

Key words: decentralized control, neural network, nonlinear large scale system, adaptive control

CLC Number:

TP13

HU Shou-song, ZHANG Rui. Indirect Adaptive Decentralized Neurcontrol for a Kind of Nonlinear Large Scale System[J]. Journal of Applied Sciences, 2002, 20(1): 66-69.

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Indirect Adaptive Decentralized Neurcontrol for a Kind of Nonlinear Large Scale System

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