Knowledge-based ant colony optimization method to design fuzzy proportional integral derivative controllers

DOI10.1134/S1064230717040050zbMath1385.93044OpenAlexW2753374611MaRDI QIDQ1745863

H. Boubertakh

Publication date: 18 April 2018

Published in: Journal of Computer and Systems Sciences International (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1064230717040050

zbMATH Keywords

inverted pendulumsingle-input single-output (SISO) systemsquadrotorant colony optimization (ACO)-based methodfuzzy proportional integral derivative (FPID) controllermini helicoptermultiple-input multiple-output (MIMO) systems

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Fuzzy control/observation systems (93C42) Design techniques (robust design, computer-aided design, etc.) (93B51) Control of mechanical systems (70Q05)

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Cites Work

• Analytical structures and analysis of the simplest fuzzy PI controllers
• Typical Takagi-Sugeno PI and PD fuzzy controllers: Analytical structures and stability analysis
• USING ANT AGENTS TO COMBINE REACTIVE AND PROACTIVE STRATEGIES FOR ROUTING IN MOBILE AD-HOC NETWORKS
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