Fuzzy identification and control of a liquid level rig
type: Item
instance of: scholarly article
title: Fuzzy identification and control of a liquid level rig
zbMATH Open document ID: 0689.93037
DOI: 10.1016/0165-0114(88)90122-4
author: Bruce P. Graham
author: Robert B. Newell
published in: Fuzzy Sets and Systems
publication date: 1988-01-01T00:00:00Z
review text: The proposed controller has the advantages of on-line control and adaptability to changing process conditions. The control algorithm is based on prediction obtained from a fuzzy process model. The controller has some learning properties which are demonstrated by its application to the control of a laboratory liquid level rig. Experimental results show that the suggested controller outperforms some convenient controllers. The authors mention some interesting problems which are to be the subject of further research.
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 94D05
Mathematics Subject Classification ID: 93B30
zbMATH DE Number: 4130268
zbMATH Keywords: learning
zbMATH Keywords: liquid level rig
MaRDI profile type: Publication
full work available at URL: 0165-0114(88)90122-4
OpenAlex ID: W1989273420
cites work: On identification in fuzzy systems and its applications in control problems
cites work: Control problems in fuzzy systems
cites work: FUZZY RULES GENERATION FOR FUZZY CONTROL
cites work: Identification of fuzzy relation systems
cites work: An approach to the analysis of fuzzy systems
cites work: Numerical and applicational aspects of fuzzy relational equations
cites work: Some remarks on the identification problem in fuzzy systems
cites work: Identification in fuzzy systems
cites work: An identification algorithm in fuzzy relational systems
cites work: Applications of fuzzy relational equations for methods of reasoning in presence of fuzzy data
cites work: A linguistic self-organizing process controller
cites work: An introductory survey of fuzzy control
cites work: Fuzzy identification of systems and its applications to modeling and control
cites work: Analysis of fuzzy control algorithms using the relation matrix
cites work: SYNTHESIS OF FUZZY MODELS FOR INDUSTRIAL PROCESSES-SOME RECENT RESULTS
cites work: The evaluation of fuzzy models derived from experimental data
cites work: Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
cites work: Fuzzy sets as a basis for a theory of possibility
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description: scientific article; zbMATH DE number 4130268