Fuzzy Relational Control of an Uncertain System

Author:

Kadri Muhammad Bilal1,Dexter Arthur2

Affiliation:

1. Electronics and Power Engineering Department, Pakistan Navy Engineering College, National University of Sciences & Technology, Islamabad, Pakistan

2. Department of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UK

Abstract

The paper considers the usefulness of a control strategy based on a fuzzy relational model of the controller to counteract uncertainties caused by measurement noise and unmeasured disturbances. The fuzzy relational model is identified using a combination of feedback error learning and fuzzy identification. An important feature of the resulting fuzzy relational model is that it will generate a fuzzy output in the presence of uncertainties. Two causes of uncertainty are considered separately, the first cause of uncertainty is due to the noise on the sensor measuring the controlled variable and the second one is an unmeasured input disturbance. Results are presented that show that the fuzzy control signal is representative of the uncertainties and that conditional defuzzification can then be used to improve the control performance by reducing the control activity.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On backstepping control for a class of multiple uncertain systems with reduced-order ESO;International Journal of Control;2021-10-14

2. Two-stage model free fuzzy adaptive controller for multiplicative disturbance rejection;Journal of Intelligent & Fuzzy Systems;2019-03-26

3. Model-Free Fuzzy Adaptive Control for MIMO Systems;Arabian Journal for Science and Engineering;2017-02-13

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