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Titlebook: Stochastic Modelling and Filtering; Proceedings of the I Alfredo Germani Conference proceedings 1987 Springer-Verlag Berlin Heidelberg 1987

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書目名稱Stochastic Modelling and Filtering
副標(biāo)題Proceedings of the I
編輯Alfredo Germani
視頻videohttp://file.papertrans.cn/879/878011/878011.mp4
叢書名稱Lecture Notes in Control and Information Sciences
圖書封面Titlebook: Stochastic Modelling and Filtering; Proceedings of the I Alfredo Germani Conference proceedings 1987 Springer-Verlag Berlin Heidelberg 1987
出版日期Conference proceedings 1987
關(guān)鍵詞algorithms; control; filtering; modeling; optimization; statistics
版次1
doihttps://doi.org/10.1007/BFb0009045
isbn_softcover978-3-540-17575-9
isbn_ebook978-3-540-47461-6Series ISSN 0170-8643 Series E-ISSN 1610-7411
issn_series 0170-8643
copyrightSpringer-Verlag Berlin Heidelberg 1987
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Estimation of immune response model parameters based on maximum likelihood method,cal point of view a disease is a process of an interaction between an antigen and cell populations of the immune system. Therefore concentrations of an antigen and immune system cells are state variables of the model..The interaction between cell populations in the model is described by nonlinear te
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Asymptotic study of estimation problems with small observation noise,ers which are solutions of stochastic differential equations driven by the observation process; upper bounds for the corresponding approximation errors are given. The proof is detailed in a particular case where the result can be improved; in particular, the efficiency of the extended Kalman filter
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Galerkin approximation for optimal linear filtering of infinite dimensional linear systems,the state for each sample path of the noise. A basic tool is the study of the Riccati equation on the Hilbert space of Hilbert-Schmidt operators on the state space. Numerical results are given for a case concerning delay-differential equation.
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