Fuzzy Brain Emotional Cerebellar Model Articulation Control System Design for Multi-Input Multi-Output Nonlinear
Fuzzy Brain Emotional Cerebellar Model Articulation Control System Design for Multi-Input Multi-Output Nonlinear
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DOI：
10.12700/aph.12.4.2015.4.3
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Chang-Chih Chung;Chih-Min Lin
中科院分区：
文献类型：
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作者：
Chang-Chih Chung;Chih-Min Lin
提出了一种大脑情感小脑模型关节控制器（BECMAC），它是一种近似大脑判断和情感活动的数学模型。一个模糊推理系统被纳入BECMAC，给新的模糊大脑情感小脑模型关节控制器（FBECMAC），本文也提出了。所开发的FBECMAC具有模糊推理判断和情感活动的优点，可用于多输入多输出非线性系统的控制。通过对一个三维混沌系统和一个质量弹簧阻尼器机械系统的仿真，验证了所提控制方法的有效性。与其他控制器的比较表明，所提出的FBECMAC控制器比其他控制器具有更好的控制效果。
A brain emotional cerebellar model articulation controller (BECMAC) is developed, which is a mathematical model that approximates the judgmental and emotional activity of a brain. A fuzzy inference system is incorporated into the BECMAC, to give the novel fuzzy brain emotional cerebellar model articulation controller (FBECMAC) that is also proposed in this paper. The developed FBECMAC has the benefit of fuzzy inference and judgment and emotional activity, and it is used to control multi-input multi-output nonlinear systems. A 3-dimensional (3D) chaotic system and a mass spring damper mechanical system are simulated, to illustrate the effectiveness of the proposed control method. A comparison between the proposed FBECMAC and other controller shows that the proposed controller exercises better control than the other controllers.