Hugendubel.info - Die B2B Online-Buchhandlung 

Merkliste
Die Merkliste ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Mathematical Control Theory for Stochastic Partial Differential Equations

BuchKartoniert, Paperback
592 Seiten
Englisch
Springererschienen am18.09.20221st ed. 2021
This is the first book to systematically present control theory for stochastic distributed parameter systems, a comparatively new branch of mathematical control theory.mehr
Verfügbare Formate
BuchGebunden
EUR171,19
BuchKartoniert, Paperback
EUR171,19
E-BookPDF1 - PDF WatermarkE-Book
EUR160,49

Produkt

KlappentextThis is the first book to systematically present control theory for stochastic distributed parameter systems, a comparatively new branch of mathematical control theory.
Zusammenfassung
Control theory for stochastic distributed parameters is a new branch

New tools presented in this book

Required reading for anyone who wants to study quantum control systems mathematically
Details
ISBN/GTIN978-3-030-82333-7
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2022
Erscheinungsdatum18.09.2022
Auflage1st ed. 2021
ReiheProbability Theory and Stochastic Modelling
Seiten592 Seiten
SpracheEnglisch
IllustrationenXIII, 592 p.
Artikel-Nr.51025789

Inhalt/Kritik

Inhaltsverzeichnis
1 Introduction.- 2 Some Preliminaries in Stochastic Calculus.- 3 Stochastic Evolution Equations.- 4 Backward Stochastic Evolution Equations.- 5 Control Problems in Stochastic Distributed Parameter Systems.- 6 Controllability for Stochastic Differential Equations in Finite Dimensions.- 7 Controllability for Stochastic Linear Evolution Equations.- 8 Exact Controllability for Stochastic Transport Equations.- 9 Controllability and Observability of Stochastic Parabolic Systems.- 10 Exact Controllability for a Refined Stochastic Wave Equation.- 11 Exact Controllability for Stochastic Schrödinger Equations.- 12 Pontryagin-Type Stochastic Maximum Principle.- 13 Linear Quadratic Optimal Control Problems.- References.- Index.mehr
Kritik
"This book of about 600 pages presents in an appealing manner how control theory can be applied for stochastic partial differential equations. I recommend it to all students and researchers interested in these topics." ( Gheorghe Tigan, zbMATH 1497.93001, 2022)mehr

Schlagworte

Autor

Qi Lü is a professor at School of Mathematics, Sichuan University, Chengdu, China. He is currently an associate editor/editorial board member of several journals including Systems & Control Letters. His research interests include control theory for deterministic and stochastic partial differential equations and stochastic analysis.

Xu Zhang is a Cheung Kong Scholar Distinguished Professor at School of Mathematics, Sichuan University, Chengdu, China. He is a sectional speaker at International Congress of Mathematicians (Control Theory & Optimization Section, 2010). He is/was the editor in chief/corresponding editor/associate editor for several journals including Mathematical Control and Related Fields, ESAIM: Control, Optimisation and Calculus of Variations, and SIAM Journal on Control and Optimization. His research interests include control theory, partial differential equations and stochastic analysis.