Identification of nonlinear systems using hybrid functions
Contribuinte(s) |
Chen, Ben M. Li, Maoquing Wang, Jianliang Luo, Jian |
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Data(s) |
01/01/2010
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Resumo |
Most real systems have nonlinear behavior and thus model linearization may not produce an accurate representation of them. This paper presents a method based on hybrid functions to identify the parameters of nonlinear real systems. A hybrid function is a combination of two groups of orthogonal functions: piecewise orthogonal functions (e.g. Block-Pulse) and continuous orthogonal functions (e.g. Legendre polynomials). These functions are completed with an operational matrix of integration and a product matrix. Therefore, it is possible to convert nonlinear differential and integration equations into algebraic equations. After mathematical manipulation, the unknown linear and nonlinear parameters are identified. As an example, a mechanical system with single degree of freedom is simulated using the proposed method and the results are compared against those of an existing approach.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://dro.deakin.edu.au/eserv/DU:30029967/kouzani-icca2010conference-2010.pdf http://dro.deakin.edu.au/eserv/DU:30029967/kouzani-identificationof-2010.pdf http://dx.doi.org/10.1109/ICCA.2010.5524064 |
Direitos |
2010, IEEE |
Palavras-Chave | #hybrid functions #nonlinear systems #identification |
Tipo |
Conference Paper |