NDLI: A New Methodology of Fuzzy Constraint-Based Controller Design via Constraint Network Processing (1995)

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A New Methodology of Fuzzy Constraint-Based Controller Design via Constraint Network Processing (1995)

Content Provider	CiteSeerX
Author	Wang, Paul P. Rangaswamy, Sathya P. Tyan, Ching-Yu Bahler, Dennis R.
Abstract	In this paper, a complete design framework for a fuzzy constraint-based controller based on fuzzy constraint processing and its semantics and relationship to fuzzy logic is presented. The concept of "fuzzy constraints" in a problem solving is introduced and some basic definitions of fuzzy constraint processing in a constraint network and its semantic modeling are addressed. Then a fuzzy local propagation inference mechanism for reasoning about imprecise information applying the filter operation in a network of constraints is proposed. Moreover, we advance the concurrent fuzzy logic controller (FLC) to a new type of controller, the fuzzy constraintbased controller (FCC), using a more general predicate calculus and full first-order logic knowledge representation and making use of the idea of fuzzy constraint processing to model practical dynamic control systems. Finally, simulation results show that a FCC achieves equivalent performance as PD type and PI type FLCs and also demonstrates s...
File Format	PDF
Journal	IEEE Transactions on Fuzzy Systems
Publisher Date	1995-01-01
Access Restriction	Open
Subject Keyword	Practical Dynamic Control System Fuzzy Constraint Fuzzy Constraint Processing Fcc Achieves Equivalent Performance Semantic Modeling Pd Type Filter Operation Problem Solving Basic Definition Fuzzy Constraint-based Controller Design Fuzzy Constraint-based Controller Pi Type Flcs Complete Design Framework Constraint Network Processing Constraint Network General Predicate Calculus Full First-order Logic Knowledge Representation New Type Imprecise Information Simulation Result Concurrent Fuzzy Logic Controller New Methodology Fuzzy Local Propagation Inference Mechanism
Content Type	Text

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