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.
Robust Kalman Filtering For Signals and Systems with Larg...
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"The book is primarily a research monograph which presents, in a unified fashion, some recent research on robust Kalman filtering. The book is intended for researchers in robust control and filtering theory, advanced postgraduate students, and engineers with an interest in applying the latest techniques of robust Kalman filtering. Robust Kalman filtering extends the Kalman filtering and the extended Kalman filtering to systems that contain uncertain parameters in addition to the usual white Gaussian noise…. Several examples are given, showing the robust Kalman filters outperforming the regular Kalman filter or the extended Kalman filter. Each of the first ten chapters covers a specific topic, usually with a major theorem characterizing the robust filter followed by an example. The final chapter addresses its application to a particular problem." —Zentralblatt Math
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First Sentence:
One of the most significant ideas to emerge in the area of systems and control theory is the Kalman Filter. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
cost state estimator, sum quadratic constraint, sign indefinite quadratic cost function, constraint uncertainty description, induction motor control scheme, robust state estimation problem, mean square error bound, missing measurement data, incompleteness matrix, averaged integral quadratic constraints, uncertain system model, guaranteed cost filtering, norm bound condition, model validation problem, robust state estimator, induction motor controller, following integral quadratic constraint, filter state equations, strict bounded real lemma, homogeneous quadratic functional, state estimation results, guaranteed cost control, optimal tracking problem, uncertain systems, model validation results Key Phrases - Capitalized Phrases (CAPs): (learn more)
Notation Let, Linear Fixed Order Filtering, Weiner Filter, Proof Given New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
One of the most significant ideas to emerge in the area of systems and control theory is the Kalman Filter. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
cost state estimator, sum quadratic constraint, sign indefinite quadratic cost function, constraint uncertainty description, induction motor control scheme, robust state estimation problem, mean square error bound, missing measurement data, incompleteness matrix, averaged integral quadratic constraints, uncertain system model, guaranteed cost filtering, norm bound condition, model validation problem, robust state estimator, induction motor controller, following integral quadratic constraint, filter state equations, strict bounded real lemma, homogeneous quadratic functional, state estimation results, guaranteed cost control, optimal tracking problem, uncertain systems, model validation results Key Phrases - Capitalized Phrases (CAPs): (learn more)
Notation Let, Linear Fixed Order Filtering, Weiner Filter, Proof Given New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
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15
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- Kalman Filtering: Theory and Practice by Mohinder S. Grewal in Back Matter (1), and Back Matter (2)
- Linear Robust Control (Prentice Hall Information and System Sciences) by Michael Green in Back Matter
- Adaptive Control by B. D. O. Anderson in Back Matter
- Computer-Controlled Systems: Theory and Design (3rd Edition) by Karl Johan Astrom in Back Matter
- Nonlinear and Adaptive Control Design (Adaptive and Learning Systems for Signal Processing, Communications and Control Series) by Miroslav Krstic in Back Matter
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- Hybrid Dynamical Systems by Andrey V. Savkin in Front Matter, and Back Matter
- Wireless Sensor Networks: First European Workshop, EWSN 2004, Berlin, Germany, January 19-21, 2004, Proceedings (Lecture Notes in Computer Science) by Holger Karl on page 75
- Perspectives in Robust Control (Lecture Notes in Control and Information Sciences) by S.O.Reza Moheimani on page 281
- Stability and Control of Dynamical Systems with Applications: A Tribute to Anthony N. Michel (Control Engineering) by Derong Liu in Back Matter
- Stability of Time-Delay Systems (Control Engineering) by Keqin Gu in Back Matter
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