Identification of fuzzy relational model and its application to control

DOI10.1016/0165-0114(93)90222-4zbMath0793.93083OpenAlexW2081891960MaRDI QIDQ1315857

Myung Jin Chung, Soo Yeong Yi

Publication date: 24 March 1994

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0165-0114(93)90222-4

zbMATH Keywords

fuzzy relational modelrecursive least square methodrecursive parameter tuning algorithm

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42)

Related Items

Introducing \(g\)-normal fuzzy relational models, Synthesis of fuzzy controllers that achieve linguistic performance objectives, A new look at solving a system of fuzzy relational equations, Fuzzy system identification using an adaptive learning rule with terminal attractors, Fuzzy relational predictive identification, Structure identification and parameter optimization for nonlinear fuzzy modeling

Cites Work

• Unnamed Item
• Unnamed Item
• An identification algorithm in fuzzy relational systems
• Numerical and applicational aspects of fuzzy relational equations
• The evaluation of fuzzy models derived from experimental data
• The use of fuzzy sets for the treatment of fuzzy information by computer
• On identification in fuzzy systems and its applications in control problems
• Fuzzy logic in control systems: fuzzy logic controller. I
• Fuzzy identification of systems and its applications to modeling and control
• Efficient Implementation of the Fuzzy c-Means Clustering Algorithms
• Fuzzy Model Identification and Self-Learning for Dynamic Systems
• Resolution of composite fuzzy relation equations
• A fuzzy cognitive structure for pattern recognition
• Decision-Making in a Fuzzy Environment