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Computational Intelligence Methods Based Design of Closed-Loop System

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Neural Information Processing (ICONIP 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8226))

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Abstract

The paper describes a unified algorithm for both parametric and structural identification. The approach combines three typical techniques such as neural networks, statistics and genetic algorithm. A specific structure of the neural network is used that allows to design a controller directly from parameters of the identified model. The control strategy based on reference model is discussed. Finally, the proposed solution is illustrated by numerical example.

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Belikov, J., Petlenkov, E., Vassiljeva, K., Nõmm, S. (2013). Computational Intelligence Methods Based Design of Closed-Loop System. In: Lee, M., Hirose, A., Hou, ZG., Kil, R.M. (eds) Neural Information Processing. ICONIP 2013. Lecture Notes in Computer Science, vol 8226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42054-2_28

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  • DOI: https://doi.org/10.1007/978-3-642-42054-2_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-42053-5

  • Online ISBN: 978-3-642-42054-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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