Robust Kalman Filtering for Signals and Systems with Large Uncertainties

Ian Petersen, Andrey Savkin (Autoren)

Buch | Hardcover

210 Seiten

1999
Birkhauser Boston Inc (Verlag)
978-0-8176-4089-7 (ISBN)

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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