Titlebook: Robust Kalman Filtering for Signals and Systems with Large Uncertainties; Ian R. Petersen,Andrey V. Savkin Book 1999 Springer Science+Busi

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Robust State Estimation with Discrete and Continuous Measurements,ate. In this case, it is important that the signal processing algorithm be able to simultaneously handle both types of measured data. The main results of this chapter extend the setvalued state estimation and model validation results of Chapters 4 and 5 to allow for hybrid discrete-continuous data.

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Set-Valued State Estimation for Nonlinear Uncertain Systems,r setvalued state estimation problem. However in [11], the disturbance model is a disturbance model of the type given in [16] rather than a nonlinear integral constraint uncertainty model which allows for uncertain dynamics.

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Robust Filtering Applied to Induction Motor Control,ndard DTC induction motor control scheme is known to have problems with robustness against variations in the motor parameters. This motivated the authors of [105,108] to investigate the possibility of a robust version of DTC induction motor control. The basic idea used in these papers is to replace

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Book 1999l presented in this book derives from a period of research collaboration between the authors from 1992 to 1994. However, its origins go back earlier than that. The first author (LR. P. ) became in- terested in problems of robust filtering through his research collaboration with Dr. Duncan McFarlane.

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青石板

2373-7719 earlier than that. The first author (LR. P. ) became in- terested in problems of robust filtering through his research collaboration with Dr. Duncan McFarlane.978-1-4612-7209-0978-1-4612-1594-3Series ISSN 2373-7719 Series E-ISSN 2373-7727

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tive Erneuerung und Verbesserung zielen. Ihre Dramaturgie besteht darin, Psychodynamiken zu irritieren, zu eskalieren sowie vorhandene Denk- und Verhaltensmuster zu zerst?ren, um dann Heilung und Reform einzuleiten. In unterschiedlichen Varianten reifen diese Techniken in so verschiedenen Milieus wi

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Ian R. Petersen,Andrey V. Savkina: Nachfolgend stellen wir kurz international vergleichend den Entwicklungsstand der Schweiz vor und pr?sentieren anschliessend detailliert die Entwicklung des E-Government in der Schweiz. Im Fokus der überlegungen stehen damit folgende Fragen: Wie weit ist die Digitalisierung der Schweizer Verwaltu

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