Optimization of PID controllers using ant colony and genetic algorithms

DOI10.1007/978-3-642-32900-5zbMath1260.93002OpenAlexW2400716819MaRDI QIDQ714914

Vedat Topuz, Muhammet Ünal, Hasan Erdal, Ayça Ak

Publication date: 12 October 2012

Published in: Studies in Computational Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-32900-5

zbMATH Keywords

optimizationgenetic algorithmartificial neural networkant colony optimizationcriteria of overshootPID controller parameterprocess control systemreal time control algorithmrise timeZiegler-Nichols (ZN) technique

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Decentralized systems (93A14) Research exposition (monographs, survey articles) pertaining to systems and control theory (93-02) Research exposition (monographs, survey articles) pertaining to computer science (68-02) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

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