Adaptive model-based control of non-linear plants using neural networks and fuzzy logic

被引：0
|
作者：
Melin, P [1 ]
Valerio, F [1 ]
Ramirez, M [1 ]
Sanchez, A [1 ]
机构：
[1] Tijuana Inst Technol, Dept Comp Sci, Chula Vista, CA 91909 USA
来源：
SOFT COMPUTING AND INDUSTRY: RECENT APPLICATIONS | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We describe in this paper adaptive model-based control of the inverted pendulum using a new hybrid approach combining neural networks and fuzzy logic. Intelligent control of complex plants is a difficult problem because the dynamics of these systems is highly non-linear. We describe an intelligent system for controlling the inverted pendulum to illustrate our new hybrid approach for adaptive control. We use the mathematical model of the inverted pendulum as s reference model in the control, and a set of fuzzy rules for representing the expert knowledge in controlling the non-linear dynamical system. We also consider a neuro-fuzzy approach to optimize the parameters of the fuzzy system for control.
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页码：123 / 132
页数：10
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