Self-tuning multivariable fuzzy and neural control using genetic algorithms

DOI10.1080/02522667.2000.10699452zbMath0958.93055OpenAlexW2071770661MaRDI QIDQ4522309

Gerasimos G. Rigatos, Spyros G. Tzafestas

Publication date: 1 April 2001

Published in: Journal of Information and Optimization Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02522667.2000.10699452

zbMATH Keywords

fuzzy controlgenetic algorithmsneural control

Mathematics Subject Classification ID

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

Related Items (3)

On-line RBFNN based identification of rapidly time-varying nonlinear systems with optimal structure-adaptation. ⋮ PID self-tuning control combining pole-placement and parameter optimization features ⋮ Quantum learning for neural associative memories

Uses Software

• Genocop

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A multivariable self-tuning controller
• A modified genetic algorithm for optimal control problems
• Self-tuning regulators for a class of multivariable systems
• On self tuning regulators
• A multivariable generalized self-tuning controller with decoupling design
• Self-tuning control of a fixed-bed chemical reactor system
• An adaptive control for CARMA systems using linear neural networks
• Soft Computing in Systems and Control Technology
• Adaptive control of discrete systems using neural networks

This page was built for publication: Self-tuning multivariable fuzzy and neural control using genetic algorithms