Gravitational search algorithm-based design of fuzzy control systems with a reduced parametric sensitivity

DOI10.1016/j.ins.2013.05.035zbMath1321.93046OpenAlexW2072225841MaRDI QIDQ497587

Radu-Emil Precup, Stefan Preitl, Mircea-Bogdan Rădac, Radu-Codruţ David, Emil M. Petriu

Publication date: 24 September 2015

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2013.05.035

zbMATH Keywords

optimizationfuzzy controlparametric sensitivitygravitational search algorithmreal-time experimentsTakagi-Sugeno proportional-integral fuzzy controllers

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (4)

An easily understandable grey wolf optimizer and its application to fuzzy controller tuning ⋮ A modified super‐twisting sliding mode control with inner feedback and adaptive gain schedule ⋮ Reinforcement learning-based control using Q-learning and gravitational search algorithm with experimental validation on a nonlinear servo system ⋮ Function optimization and parameter performance analysis based on gravitation search algorithm

Uses Software

• BGSA
• FRI
• GSA

Cites Work

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