Building a model-based fuzzy controller

Bruce Postlethwaite

doi:10.1016/0165-0114(95)00287-1

Building a model-based fuzzy controller

Bruce Postlethwaite

Chemical And Process Engineering

Research output: Contribution to journal › Article › peer-review

32 Citations (Scopus)

Abstract

A new form of fuzzy model-based controller is introduced. The new controller is based on a conventional predictive controller design, but utilises a fuzzy relational model. The controller is described and compared with existing fuzzy controllers. Practical advice is given on generating suitable relational models for control purposes and an appropriate identification algorithm is recommended. The controller is tested on a liquid level process and its performance compared to another fuzzy model-based controller which has been previously reported.

Original language	English
Pages (from-to)	3-13
Number of pages	10
Journal	Fuzzy Sets and Systems
Volume	79
Issue number	1
DOIs	https://doi.org/10.1016/0165-0114(95)00287-1
Publication status	Published - Apr 1996

Keywords

control theory
model-based control

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10.1016/0165-0114(95)00287-1

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abstract = "A new form of fuzzy model-based controller is introduced. The new controller is based on a conventional predictive controller design, but utilises a fuzzy relational model. The controller is described and compared with existing fuzzy controllers. Practical advice is given on generating suitable relational models for control purposes and an appropriate identification algorithm is recommended. The controller is tested on a liquid level process and its performance compared to another fuzzy model-based controller which has been previously reported.",

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AB - A new form of fuzzy model-based controller is introduced. The new controller is based on a conventional predictive controller design, but utilises a fuzzy relational model. The controller is described and compared with existing fuzzy controllers. Practical advice is given on generating suitable relational models for control purposes and an appropriate identification algorithm is recommended. The controller is tested on a liquid level process and its performance compared to another fuzzy model-based controller which has been previously reported.

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Building a model-based fuzzy controller

Abstract

Keywords

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