Intelligent robust control for uncertain nonlinear multivariable systems using recurrent cerebellar model neural networks
Intelligent robust control for uncertain nonlinear multivariable systems using recurrent cerebellar model neural networks
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DOI：
10.12700/aph.12.5.2015.5.1
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发表时间：
2015
影响因子：
1.7
通讯作者：
Chiu-Hsiung Chen;Chang-Chih Chung;F. Chao;Chih-Min Lin;I. Rudas
中科院分区：
文献类型：
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作者：
Chiu-Hsiung Chen;Chang-Chih Chung;F. Chao;Chih-Min Lin;I. Rudas
针对一类不确定非线性多变量系统，利用递归小脑模型关节控制器（RCMAC）和滑模控制技术，提出了一种智能鲁棒控制算法。该控制算法由自适应RCMAC和鲁棒控制器组成。自适应RCMAC是一个主要的跟踪控制器，用于模仿一个理想的滑模控制器，和自适应RCMAC的参数在线调整所得出的自适应律从李雅普诺夫函数。基于
This paper develops an intelligent robust control algorithm for a class of uncertain nonlinear multivariable systems by using a recurrent-cerebellar-model- articulation-controller (RCMAC) and sliding mode technology. The proposed control algorithm consists of an adaptive RCMAC and a robust controller. The adaptive RCMAC is a main tracking controller utilized to mimic an ideal sliding mode controller, and the parameters of the adaptive RCMAC are on-line tuned by the derived adaptive laws from the Lyapunov function. Based on the