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Dynamical System Identification and Its Applications Using Wavelet Network

LI Xiangwu and WEI Gang(Department of Electronics and Communications, South China University of Technology. Guangzhou, 510641, PRC)  
In this paper,algorithms for the identification of a nonlinear multi-input dynamical system are developed. These algorithms are successfully used for the applications including a local short term rain storm forecasting. A wavelet network structure is applied to track the dynamics of a nonlinear system and used for identifying a state space model of the system. When comparing with traditional artificial neural network (ANN) approaches, we have shown that this wavelet approach offers significant improvement in terms of learning speed,reliability and accuracy.
【Fund】: 国家自然科学基金!69772027&69602002;;国家教委跨世纪人才培养计划基金;;霍英东青年教师基金;;国家教委博士点专项基金!96056112;;广东省
【CateGory Index】: TP271
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