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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...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
The Institution of Engineering and Technology
2004
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2066446 |
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 |
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