Fast self-learning multivariable fuzzy controllers constructed from a modified CPN network

DOI10.1080/00207179408921470zbMath0808.93049OpenAlexW2031827208MaRDI QIDQ4311316

Junhong Nie, D. A. Linkens

Publication date: 26 October 1994

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207179408921470

zbMATH Keywords

reasoningcomputational representationfuzzy control algorithmCPN-based neural networksrule-base acquisition

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (1)

FCMAC: A fuzzified cerebellar model articulation controller with self- organizing capacity

Cites Work

• NN-driven fuzzy reasoning
• Neural network implementation of fuzzy logic
• A linguistic self-organizing process controller
• Fuzzy identification of systems and its applications to modeling and control
• A unified real-time approximate reasoning approach for use in intelligent control Part 1. Theoretical development
• Neural network-based approximate reasoning: principles and implementation

This page was built for publication: Fast self-learning multivariable fuzzy controllers constructed from a modified CPN network