Multi-innovation recursive identification methods for nonlinear sandwich systems using the auxiliary model
In this paper, an auxiliary model-based multi-innovation least squares algorithm is used to solve the identification problem existing in the nonlinear sandwich system. Nonlinear sandwich systems are widely used in real industrial systems, and effective system identification is beneficial for designi...
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| Vydané v: | Applied mathematical modelling Ročník 150; s. 116398 |
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| Médium: | Journal Article |
| Jazyk: | English |
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01.02.2026
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| ISSN: | 0307-904X |
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| Abstract | In this paper, an auxiliary model-based multi-innovation least squares algorithm is used to solve the identification problem existing in the nonlinear sandwich system. Nonlinear sandwich systems are widely used in real industrial systems, and effective system identification is beneficial for designing effective controllers to control them. The nonlinear sandwich system consists of two linear modules and one nonlinear module in which there are unmeasurable internal variables. To solve the problem, an auxiliary model is constructed in this paper to replace the unmeasurable variables with their outputs. Then the multi-innovation theory is introduced to improve the accuracy of the algorithm and the convergence of the algorithm is proved. Finally, a numerical example and one physical simulation example are used to prove the effectiveness of the algorithm proposed in this paper.
•An auxiliary model is built to solve the inner parameter estimation problem.•Multi-innovation theory is used to improve the accuracy of identification results.•The convergence of the proposed algorithm is proved.•Two examples are used to prove the effectiveness of the algorithm. |
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| AbstractList | In this paper, an auxiliary model-based multi-innovation least squares algorithm is used to solve the identification problem existing in the nonlinear sandwich system. Nonlinear sandwich systems are widely used in real industrial systems, and effective system identification is beneficial for designing effective controllers to control them. The nonlinear sandwich system consists of two linear modules and one nonlinear module in which there are unmeasurable internal variables. To solve the problem, an auxiliary model is constructed in this paper to replace the unmeasurable variables with their outputs. Then the multi-innovation theory is introduced to improve the accuracy of the algorithm and the convergence of the algorithm is proved. Finally, a numerical example and one physical simulation example are used to prove the effectiveness of the algorithm proposed in this paper.
•An auxiliary model is built to solve the inner parameter estimation problem.•Multi-innovation theory is used to improve the accuracy of identification results.•The convergence of the proposed algorithm is proved.•Two examples are used to prove the effectiveness of the algorithm. |
| ArticleNumber | 116398 |
| Author | Dong, Qi Wang, Xuchen Chen, Feiyan Jiang, Haolong Liu, Qinyao |
| Author_xml | – sequence: 1 givenname: Qinyao surname: Liu fullname: Liu, Qinyao email: Qinyao.Liu@xjtlu.edu.cn organization: School of Advanced Technology, Xi'an Jiaotong Liverpool University, Suzhou 215123, PR China – sequence: 2 givenname: Qi surname: Dong fullname: Dong, Qi email: Qi.Dong22@student.xjtlu.edu.cn organization: School of Advanced Technology, Xi'an Jiaotong Liverpool University, Suzhou 215123, PR China – sequence: 3 givenname: Haolong surname: Jiang fullname: Jiang, Haolong email: Haolong.Jiang22@student.xjtlu.edu.cn organization: School of Advanced Technology, Xi'an Jiaotong Liverpool University, Suzhou 215123, PR China – sequence: 4 givenname: Feiyan surname: Chen fullname: Chen, Feiyan email: Feiyan.Chen@xjtlu.edu.cn organization: Department of Foundational Mathematics, School of Mathematics and Physics, Xi'an Jiaotong Liverpool University, Suzhou 215123, PR China – sequence: 5 givenname: Xuchen orcidid: 0000-0001-9735-7644 surname: Wang fullname: Wang, Xuchen email: Xuchen.Wang@xjtlu.edu.cn organization: School of Advanced Technology, Xi'an Jiaotong Liverpool University, Suzhou 215123, PR China |
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| Keywords | Multi-innovation theory Parameter estimation Auxiliary model Nonlinear sandwich systems Recursive least squares Heat exchanger |
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| SubjectTerms | Auxiliary model Heat exchanger Multi-innovation theory Nonlinear sandwich systems Parameter estimation Recursive least squares |
| Title | Multi-innovation recursive identification methods for nonlinear sandwich systems using the auxiliary model |
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