Efficient reinforcement learning through dynamic symbiotic evolution for TSK-type fuzzy controller design

DOI10.1080/03081070500132377zbMath1078.93047OpenAlexW2042298855MaRDI QIDQ5704484

Cheng-Jian Lin, Yong-Ji Xu

Publication date: 15 November 2005

Published in: International Journal of General Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03081070500132377

zbMATH Keywords

reinforcement learningsequential searchTSK-type fuzzy controllerdynamic-form symbiotic evolution

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Fuzzy control/observation systems (93C42)

Cites Work

• Landmark learning: An illustration of associative search
• A GA-based neural fuzzy system for temperature control
• Fuzzy identification of systems and its applications to modeling and control
• Self-tuning control of a fixed-bed chemical reactor system
• Genetic Fuzzy Systems

This page was built for publication: Efficient reinforcement learning through dynamic symbiotic evolution for TSK-type fuzzy controller design