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Robust Estimation and Failure Detection
This book introduces robust estimation and failure detection, with a thorough presentation of Kalman filtering and H-infinity filtering theory. These estimation techniques make it possible for engineers to design estimators that are more general and robust. The book also reviews the likelihood ratio method for failure detection and demonstrates how to design failure detectors that are sensitive to failures but insensitive to model variations. This book will give engineers a concise presentation of these important techniques, as well as an overview of important robust control developments of the last fifteen years.
Robust and Optimal Control
A Two-port Framework for Robust and Optimal Control introduces an alternative approach to robust and optimal controller synthesis procedures for linear, time-invariant systems, based on the two-port system widespread in electrical engineering. The novel use of the two-port system in this context allows straightforward engineering-oriented solution-finding procedures to be developed, requiring no mathematics beyond linear algebra. A chain-scattering description provides a unified framework for constructing the stabilizing controller set and for synthesizing H2 optimal and H∞ sub-optimal controllers. Simple yet illustrative examples explain each step. A Two-port Framework for Robust and Opti...
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TIMS/ORSA Bulletin
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NASA SP.
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