Journal
APPLIED MATHEMATICAL MODELLING
Volume 38, Issue 1, Pages 403-412Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2013.06.007
Keywords
Dynamic system; Numerical algorithm; Least squares; Parameter estimation; Recursive identification; State space model
Funding
- National Natural Science Foundation of China [61273194]
- Natural Science Foundation of Jiangsu Province (China) [BK2012549]
- 111 Project [B12018]
- PAPD of Jiangsu Higher Education Institutions
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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. (C) 2013 Elsevier Inc. All rights reserved.
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