Frank L. Lewis, Lihua Xie, Dan Popa

Optimal and Robust Estimation (eBook, PDF)

With an Introduction to Stochastic Control Theory, Second Edition

• Format: PDF

Produktbeschreibung

The updated edition of this classic text reflects new developments in estimation theory and design techniques. The major feature of this text is the inclusion of robust methods. Three new chapters cover the robust Kalman filter, H-infinity filtering, and H-infinity filtering of discrete-time systems. The book overflows with examples that highlight practical applications of the theory and concepts. Design algorithms appear conveniently in tables, allowing students quick reference, easy implementation into software, and intuitive comparisons for selecting the best algorithm for a given application. In addition, downloadable MATLAB® code allows readers to gain hands-on experience.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 552
• Erscheinungstermin: 19. Dezember 2017
• Englisch
• ISBN-13: 9781420008296
• Artikelnr.: 50527364

Autorenporträt

Lewis, Frank L.; Xie, Lihua; Popa, Dan

Inhaltsangabe

OPTIMAL ESTIMATION. Classical Estimation Theory. Discrete
Time Kalman Filter. Continuous
Time Kalman Filter. Kalman Filter Design and Implementation. Estimation for Nonlinear Systems. ROBUST ESTIMATION. Robust Kalman Filter. H
Infinity Filtering of Continuous
Time Systems. H
Infinity Filtering of Discrete
Time Systems. OPTIMAL STOCHASTIC CONTROL. Stochastic Control for State Variable Systems. Stochastic Control for Polynomial Systems. Appendix A: Review of Matrix Algebra. References. Index.