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Modelling and parameter estimation of dynamic systems

Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system dynamics. The assumed model consists of a finite set of parameters, the values of which are calculated using estimation techniques. Most of the techniques that...

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Detalles Bibliográficos
Autores principales: Raol, JR, Girija, G, Singh, J
Lenguaje:eng
Publicado: The Institution of Engineering and Technology 2004
Materias:
Acceso en línea:http://cds.cern.ch/record/2066446
Descripción
Sumario:Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system dynamics. The assumed model consists of a finite set of parameters, the values of which are calculated using estimation techniques. Most of the techniques that exist are based on least-square minimization of error between the model response and actual system response. However, with the proliferation of high speed digital computers, elegant and innovative techniques like filter error method, H-infinity and Artificial Neural Networks are finding more and mor