Abstract
Because nonlinear dynamic systems are various, they are still not well solved via the traditional identification methods. This paper supposes that an original dynamic system is described by Hammerstein model initially. Its transfer function can then be changed into a simple form via expansion, thus generating an intermediate model and its parameters are obtained by an impoved particle swarm optimization. Finally, the parameters are gotten by the corresponding parameters’ relationships. Accordingly, the original system is identified. To demonstrate the feasibility of the proposed method, illustrative examples are included.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Xu, X., Yin, Y., Wang, F., Qian, F. (2012). Research on Identification for a Class of Dynamic System. In: Mao, E., Xu, L., Tian, W. (eds) Emerging Computation and Information teChnologies for Education. Advances in Intelligent and Soft Computing, vol 146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28466-3_8
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DOI: https://doi.org/10.1007/978-3-642-28466-3_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28465-6
Online ISBN: 978-3-642-28466-3
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