Robust Kalman Filtering for Signals and Systems with Large Uncertainties - Ian Petersen, Andrey Savkin

Robust Kalman Filtering for Signals and Systems with Large Uncertainties

, (Autoren)

William Levine (Herausgeber)

Buch | Hardcover
210 Seiten
1999
Birkhauser Boston Inc (Verlag)
978-0-8176-4089-7 (ISBN)
85,55 inkl. MwSt
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The Kalman Filter gives an optimal estimate of the state of the given process based on output measurements. The aim of this text is to cover the theory of robust state estimation for the case in which the process model contains significant uncertainties and non-linearities.

Continuous-time quadratic guaranteed cost filtering; discrete-time quadratic guaranteed cost filtering; continuous-time set valued state estimation and model validation; discrete-time set valued estimation and model validation; robust state estimation with discrete and continuous measurements; set valued state estimation with structured uncertainty; robust H-infinity filtering with structured uncertainty; robust fixed order H-infinity filtering; set valued state estimation for nonlinear uncertain systems; robust filtering applied to an induction motor.

Erscheint lt. Verlag 10.11.1999
Reihe/Serie Control Engineering
Zusatzinfo 26 black & white illustrations
Verlagsort Secaucus
Sprache englisch
Maße 155 x 235 mm
Gewicht 420 g
Einbandart gebunden
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Technik Elektrotechnik / Energietechnik
Technik Maschinenbau
ISBN-10 0-8176-4089-4 / 0817640894
ISBN-13 978-0-8176-4089-7 / 9780817640897
Zustand Neuware
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