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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书目名称Bounding Approaches to System Identification影响因子(影响力)




书目名称Bounding Approaches to System Identification影响因子(影响力)学科排名




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书目名称Bounding Approaches to System Identification被引频次学科排名




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书目名称Bounding Approaches to System Identification年度引用学科排名




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defray

fallible

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

headlong

debase

奴才

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

aviator

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

背心

dithiolethione

FATAL

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