An auxiliary model based multi-innovation recursive least squares estimation algorithms for MIMO Hammerstein system
An auxiliary model based multi-innovation recursive least squares estimation algorithms is proposed in this paper. The unknown variables in the information vector can be estimated by using the auxiliary model. The proposed recursive least squares algorithm uses not only the current innovation but al...
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| Vydané v: | Proceedings of the 30th Chinese Control Conference s. 1442 - 1445 |
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| Hlavní autori: | , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
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IEEE
01.07.2011
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| ISBN: | 9781457706776, 1457706776 |
| ISSN: | 1934-1768 |
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| Abstract | An auxiliary model based multi-innovation recursive least squares estimation algorithms is proposed in this paper. The unknown variables in the information vector can be estimated by using the auxiliary model. The proposed recursive least squares algorithm uses not only the current innovation but also the past innovations at each recursion and thus the parameter estimation accuracy can be improved. Finally, the simulation results indicate that the proposed algorithm has good performances. |
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| AbstractList | An auxiliary model based multi-innovation recursive least squares estimation algorithms is proposed in this paper. The unknown variables in the information vector can be estimated by using the auxiliary model. The proposed recursive least squares algorithm uses not only the current innovation but also the past innovations at each recursion and thus the parameter estimation accuracy can be improved. Finally, the simulation results indicate that the proposed algorithm has good performances. |
| Author | Chen Jing Wang Xiuping |
| Author_xml | – sequence: 1 surname: Wang Xiuping fullname: Wang Xiuping email: wxp@wxstc.cn organization: Wuxi Prof. Coll. of Sci. & Technol., Wuxi, China – sequence: 2 surname: Chen Jing fullname: Chen Jing email: chenjing1981929@126.com organization: Wuxi Prof. Coll. of Sci. & Technol., Wuxi, China |
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| Snippet | An auxiliary model based multi-innovation recursive least squares estimation algorithms is proposed in this paper. The unknown variables in the information... |
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| SubjectTerms | Adaptation models Auxiliary model identification Convergence Least squares Least squares approximation Multi-innovation identification Multi-input multi-output systems Nonlinear systems Parameter estimation Stochastic processes Technological innovation |
| Title | An auxiliary model based multi-innovation recursive least squares estimation algorithms for MIMO Hammerstein system |
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