This work presents a concise treatment of robust estimation, with a thorough presentation of Kalman filtering. The robust game theoretic/ H filtering theory is developed, making it possible to design estimators that are more general than Kalman filters and are robust to model uncertainties and/or rapid model variations. Intended for students, researchers or engineers with an interest in filtering or failure detection, this work offers classical and advanced theories and design methods and allows them to benefit from robust control theoretic developments since the early 1980s. Control researchers and engineers should also find the work relevant, as it demonstrates how development in their discipline affects these two neighbouring fields.
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From the reviews:
“The book provides a novel solution of a class of robust estimation problems and includes convincing application studies. ... The material presented in the book is accessible to the novice in both filtering and detection theory. ... The chapters of the book are very well- structured, presented with clarity, and the reader’s understanding is helped with some examples. ... I strongly recommend it to researchers and practitioners in the field of estimation and failure detection, who will certainly find this book an important reference.” (Theodor- Dan Popescu, Studies in Informatics and Control, Vol. 8 (2), 1999)Introduction.- Estimation and Failure Detection - an Overview.- Discrete-Time Robust Estimation.- Stochastic Interpretation of Robust Estimation: Risk Sensitivity.- Robust Failure Detection and Isolation.- Two Applications.- Appendices.
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Da: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germania
Hardcover. Condizione: Wie neu. 1st ed. 239 S.; Ill. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 580. Codice articolo 818343
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Da: Buchpark, Trebbin, Germania
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Da: Buchpark, Trebbin, Germania
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