Fuzzy model predictive control of non-linear processes using genetic algorithms.

DOI10.1016/S0165-0114(02)00506-7zbMath1038.93052OpenAlexW1998221850MaRDI QIDQ1408835

George Bafas, Haralambos Sarimveis

Publication date: 25 September 2003

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

Full work available at URL: https://doi.org/10.1016/s0165-0114(02)00506-7

zbMATH Keywords

fuzzy controlgenetic algorithmson-line algorithmmodel predictive controlfuzzy modelsreactor

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Design techniques (robust design, computer-aided design, etc.) (93B51)

Related Items (6)

Robust model predictive control for discrete uncertain nonlinear systems with time-delay via fuzzy model ⋮ Parameter optimization of MIMO fuzzy optimal model predictive control by APSO ⋮ An efficient artificial bee colony algorithm with application to nonlinear predictive control ⋮ Support vector machines-based generalized predictive control ⋮ Online trained support vector machines-based generalized predictive control of non-linear systems ⋮ MPC-based compensation control system for the yaw stability of distributed drive electric vehicle

Uses Software

• Genocop

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Generalized predictive control. I: The basic algorithm
• Generalized predictive control. II: Extensions and interpretations
• Nonlinear model-based process control. Applications in petroleum refining
• One-step ahead predictive fuzzy controller

This page was built for publication: Fuzzy model predictive control of non-linear processes using genetic algorithms.