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Predictive Control with Restricted Genetic Optimisation

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Advances in Computational Intelligence and Learning

Abstract

This paper presents an improved on-line predictive control method of nonlinear time-varying dynamic systems. This method identifies the predictive controller coefficients with a new technique called Restricted Genetic Optimisation (RGO). This method is based on Genetic Algorithms combined with a new technique to simulate the gradient method behaviour without using the concept of derivatives.

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Hans-Jürgen Zimmermann Georgios Tselentis Maarten van Someren Georgios Dounias

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© 2002 Springer Science+Business Media New York

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Garrido, S., Moreno, L., Salichs, M.A. (2002). Predictive Control with Restricted Genetic Optimisation. In: Zimmermann, HJ., Tselentis, G., van Someren, M., Dounias, G. (eds) Advances in Computational Intelligence and Learning. International Series in Intelligent Technologies, vol 18. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0324-7_7

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  • DOI: https://doi.org/10.1007/978-94-010-0324-7_7

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-3872-0

  • Online ISBN: 978-94-010-0324-7

  • eBook Packages: Springer Book Archive

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