Miroslav Krstic

eBook, PDF

Delay Compensation for Nonlinear, Adaptive, and PDE Systems (eBook, PDF)

Beschreibung

Shedding light on new opportunities in predictor feedback, this book significantly broadens the set of techniques available to a mathematician or engineer working on delay systems. It is collection of tools and techniques that make predictor feedback ideas applicable to nonlinear systems, systems modeled by PDEs, systems with highly uncertain or completely unknown input/output delays, and systems whose actuator or sensor dynamics are modeled by more general hyperbolic or parabolic PDEs, rather than by pure delay.

Replete with examples, Delay Compensation for Nonlinear, Adaptive, and PDE Systems is an excellent reference guide for graduate students, researchers, and professionals in mathematics, systems control, as well as chemical, mechanical, electrical, computer, aerospace, and civil/structural engineering. Parts of the book may also be used in graduate courses on general distributed parameter systems, linear delay systems, PDEs, nonlinear control, state estimator and observers, adaptive control, robust control, or linear time-varying systems.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 5.26MB

Barrierefreiheit

• Text-to-Speech

Autor

Miroslav Krstic received his PhD from the University of California, Santa Barbara, in 1994 where he is currently a researcher in the Department of Electrical and Computer Engineering.

Produktdetails

• Verlag: Birkhäuser Boston
• Seitenzahl: 466
• Erscheinungstermin: 23. Januar 2010
• Englisch
• ISBN-13: 9780817648770
• Artikelnr.: 37341917

Rezensionen

From the reviews:
"A research monograph that introduces the treatment of systems with input delays as PDE-ODE cascade systems with boundary control. ... The book should be of interest to researchers working on control of delay systems - engineers, graduate students, and delay systems specialists in academia. Mathematicians ... will find the book interesting ... . Chemical engineers and process dynamic researchers, who have traditionally been users of the Smith predictor and related approaches, should find the various extensions of this methodology that the book presents to be useful." (Bojidar Cheshankov, Zentralblatt MATH, Vol. 1181, 2010)