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A Design of Stochastic Fuzzy Controller as a Linear Min-Max Control

Keigo Watanabe, Akira Nomiyama

发表年份
1998
引用次数
2
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摘要

A gain design method of a stochastic fuzzy controller is described by using a linear min-max control law in discrete-time. It is shown that the stochastic fuzzy control system using such a design method can assure an asymptotic stability to within some tolerance, instead of assuring an ideally asymptotic stability about zero, as along as satisfying the so-called matching condition for the uncertainties. The effectiveness of the proposed method is illustrated by giving some simulations for the trajectory tracking control problem of a mobile robot with two independent driving wheels, in which the mobile robot is assumed to have completely unknown parameters.

关键词

Control theory (sociology)Exponential stabilityController (irrigation)TrajectoryFuzzy logicFuzzy control systemMobile robotStability (learning theory)Matching (statistics)Computer science

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