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Titlebook: Bounding Approaches to System Identification; Mario Milanese,John Norton,éric Walter Book 1996 Springer Science+Business Media New York 19

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期刊全稱Bounding Approaches to System Identification
影響因子2023Mario Milanese,John Norton,éric Walter
視頻videohttp://file.papertrans.cn/191/190074/190074.mp4
圖書封面Titlebook: Bounding Approaches to System Identification;  Mario Milanese,John Norton,éric Walter Book 1996 Springer Science+Business Media New York 19
影響因子In response to the growing interest in bounding errorapproaches, the editors of this volume offer the first collection ofpapers to describe advances in techniques and applications of boundingof the parameters, or state variables, of uncertain dynamical systems.Contributors explore the application of the bounding approach as analternative to the probabilistic analysis of such systems, relatingits importance to robust control-system design.
Pindex Book 1996
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Gordon E. Willmot,X. Sheldon Linrequire a collection of papers as a broad introduction to the field and a review of current progress. The basic idea of describing plant uncertainty by bounds is as old as toleranced engineering design. State bounding was introduced to the control engineering community in the late 1960s and paramete
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https://doi.org/10.1007/978-88-470-1353-7 on its instantaneous values is known. First, various ellipsoidal outer bounding (EOB) algorithms are presented in a unified way. Then, two types of projection algorithms are described, and their link with the EOB algorithms is established. After that, the EOB algorithms are interpreted as robust id
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https://doi.org/10.1007/978-88-470-1353-7rs when the model output is linear in the parameters. The properties of the different algorithms are analyzed and compared..The possibility of evaluating the confidence of the obtained estimates is discussed, particularly information required on the noise structure in order to assess the confidence
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https://doi.org/10.1007/978-88-470-1353-7 the solution set (not the parameter set). It characterizes and presents the bounding functions for the solution set using interval arithmetic. Numerical algorithms with result verification and corresponding programs for the computation of the bounding functions in given domain are reported. Some ex
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