Abstract
This book is about trajectory tracking control of a pressure control system by PID controller with modeling Artificial Neural Networks (ANN) and finding the coefficients of PID controller with Genetic Algorithm (GA), Ant Colony Algorithm (ACO) and the Ziegler-Nichols (ZN). This book also presents performance comparison of these methods. This book was prepared based on the master thesis entitled Optimization of PID Controller Using Ant Colony / Genetic Algorithms and Control of The GUNT RT 532 Pressure Process at Marmara University Institute for Graduate Studies in Pure and Applied Sciences [1].
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© 2013 Springer-Verlag Berlin Heidelberg
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Ünal, M., Ak, A., Topuz, V., Erdal, H. (2013). Introduction. In: Optimization of PID Controllers Using Ant Colony and Genetic Algorithms. Studies in Computational Intelligence, vol 449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32900-5_1
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DOI: https://doi.org/10.1007/978-3-642-32900-5_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32899-2
Online ISBN: 978-3-642-32900-5
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