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• W750699093 abstract "The choice of an input signal used for actuation of the system is critical in the task of model building and parameter identification. In the paper the optimal excitation signal was generated for the cascade tank system. The objective of this kind of experiment design is to minimise the variance of the parameters to be estimated. In this case, the objective function was formulated through maximisation of the Fisher information matrix determinant in the form of a conventional integral criterion with amplitude constraints. Dobor optymalnego sygnalu wejściowego w zadaniu estymacji parametrow ukladu dwoch zbiornikow Streszczenie Dokladnośc uzyskiwanych estymat parametrow identyfikowanego modelu zalezy przede wszystkim od doboru odpowiedniego sygnalu wejściowego, ktory wzbudza wybrane wejście obiektu regulacji. W pracy przedstawiono wyniki doboru optymalnego sygnalu sterującego ukladem dwoch zbiornikow. Celem takiego eksperymentu jest minimalizacja wariancji uzyskiwanych estymat parametrow. Maksymalizowano funkcjonal celu określony jako wyznacznik macierzy informacyjnej Fishera uwzgledniając nalozone ograniczenia na amplitude sygnalu wejściowego. 5. lIterature [1] Godfrey K.: Perturbation signals for system identification, Prentice Hall International (UK) Ltd. Hertfordshire, UK, 1993. [2] Ljung L.: System identification: Theory for the user, Prentice Hall, Inc., Upper Saddle River, New Jersey, USA, 1999. [3] Pintelon R., Schoukens J.: System identification: A frequency domain approach (2nd edition), John Wiley & Sons, Inc., Hoboken, New Jersey, USA, 2012. [4] Kalaba R., Spingarn K.: Control, identification, and input optimization, Plenum Press, New York, 1982. [5] Mehra R.: Choice of input signals, in: P. Eykhoff (ed.), Trends and progress in systems identification, Pergamon Press, New York, 1981. [6] Zarrop M.: Optimal experiment for dynamic system identification, Lecture Notes in Control and Information, vol. 21, Springer-Verlag, New York, 1979. [7] Antoulas A., Anderson B.: On the choice of inputs in identification for robust control, Automatica 35, 1009-1031, 1999. [8] Gevers M., Ljung L.: Optimal experiments designs with respect to the intended model application, Automatica 22, 543-554, 1986. [9] Hussain M.: Review of the applications of neural networks in chemical process control-simulation and on-line implementation, Artificial Intelligence in Engineering 13, 55-68, 1999. [10] Narasimhan S., Rengaswamy R.: Multi-objective input signal design for plant friendly identification of process systems, Proceeding of the American Control Conference, Boston, Massachusetts, 4891-4896, 2004." @default.
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• W750699093 date "2014-01-01" @default.
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• W750699093 title "Optimal excitation signal design for parameter estimation in a cascade tank system" @default.
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