Combined state and least squares parameter estimation algorithms for dynamic systems |
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Authors: | Feng Ding |
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Affiliation: | Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, PR China; Control Science and Engineering Research Center, Jiangnan University, Wuxi 214122, PR China |
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Abstract: | The control theory and automation technology cast the glory of our era. Highly integrated computer chip and automation products are changing our lives. Mathematical models and parameter estimation are basic for automatic control. This paper discusses the parameter estimation algorithm of establishing the mathematical models for dynamic systems and presents an estimated states based recursive least squares algorithm, and the states of the system are computed through the Kalman filter using the estimated parameters. A numerical example is provided to confirm the effectiveness of the proposed algorithm. |
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Keywords: | Dynamic system Numerical algorithm Least squares Parameter estimation Recursive identification State space model |
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