Abstract
Choice of the architecture of the neural network makes it possible to find its optimal structure for the control of nonlinear multi-input multi-output (MIMO) systems using the linearization feedback.Genetic algorithm is proposed as the optimization method for finding the appropriate structure. The controller is based on the parameters of the obtained neural network. The error based criterion is applied as evaluation function for model identification procedure.
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Vassiljeva, K., Belikov, J., Petlenkov, E. (2011). Genetic Algorithm Based Structure Identification for Feedback Control of Nonlinear MIMO Systems. In: Bouchachia, A. (eds) Adaptive and Intelligent Systems. ICAIS 2011. Lecture Notes in Computer Science(), vol 6943. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23857-4_23
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DOI: https://doi.org/10.1007/978-3-642-23857-4_23
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