Abstract
We describe a different kind of evolutionary methods to optimize a type-2 fuzzy logic controller (FLC) applied to linear plants. The evolutionary method used is a genetic algorithm to find the optimal FLC for the plant control. The plant receives a linear signal of input controlled by an optimized FLC, obtaining as result the control and the stability of the plant. Simulations results were made in Simulink showing the effectiveness of the proposal.
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Martinez, R., Castillo, O., Aguilar, L.T., Rodriguez, A. (2009). Evolutionary Optimization of Type-2 Fuzzy Logic Systems Applied to Linear Plants. In: Castillo, O., Pedrycz, W., Kacprzyk, J. (eds) Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Studies in Computational Intelligence, vol 257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04514-1_2
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DOI: https://doi.org/10.1007/978-3-642-04514-1_2
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