Exact Controllability and Stabilization of the Wave Equation (eBook)

Artikelnummer: 978-3-031-58857-0
Einband: PDF
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This comprehensive monograph illustrates the intricate realm of controllability and stabilization of wave phenomena. Authored by an expert in the field, this book integrates J. L. Lion's renowned HUM method, multiplier techniques, and the construction of Lyapunov functionals.

Through meticulous analysis and practical applications, this book provides invaluable insights for researchers seeking to navigate the expansive domain of wave-like equations and their control. Whether you are a seasoned mathematician or a newcomer to the field, this book serves as an indispensable guide, offering a thorough introduction and essential tools for understanding and controlling wave phenomena.

This comprehensive monograph illustrates the intricate realm of controllability and stabilization of wave phenomena. Authored by an expert in the field, this book integrates J. L. Lion's renowned HUM method, multiplier techniques, and the construction of Lyapunov functionals.

Through meticulous analysis and practical applications, this book provides invaluable insights for researchers seeking to navigate the expansive domain of wave-like equations and their control. Whether you are a seasoned mathematician or a newcomer to the field, this book serves as an indispensable guide, offering a thorough introduction and essential tools for understanding and controlling wave phenomena.

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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2024
Seitenangabe133 S.
AusgabekennzeichenEnglisch
AbbildungenXVIII, 133 p. 3 illus.
Masse3'434 KB
PlattformPDF
ReiheUNITEXT; La Matematica per il 3+2; Mathematics and Statistics; Mathematics and Statistics
AutorZuazua, Enrique / Bracho Tudares, Darlis (Übers.)

Alle Bände der Reihe "UNITEXT; La Matematica per il 3+2; Mathematics and Statistics; Mathematics and Statistics (R0)"

Über den Autor Enrique Zuazua

Enrique Zuazua (Eibar, Basque Country, 1961) holds the Chair for Dynamics, Control, Machine Learning and Numerics - Alexander von Humboldt Professorship at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and part-time appointments at UAM in Madrid and Deusto Foundation in Bilbao. With a dual PhD (University of the Basque Country and Université Pierre et Marie Curie), his research in applied mathematics covers PDEs, systems control, numerical analysis and machine learning.

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