Cargando…

Control Theory in Physics and other Fields of Science Concepts, Tools, and Applications /

This book covers systematically and in a simple language the mathematical and physical foundations of controlling deterministic and stochastic evolutionary processes in systems with a high degree of complexity. Strong emphasis is placed on concepts, methods and techniques for modelling, assessment a...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Schulz, Michael (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Springer Tracts in Modern Physics, 215
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-540-32417-1
003 DE-He213
005 20220117151452.0
007 cr nn 008mamaa
008 100806s2006 gw | s |||| 0|eng d
020 |a 9783540324171  |9 978-3-540-32417-1 
024 7 |a 10.1007/11374343  |2 doi 
050 4 |a Q295 
072 7 |a GPFC  |2 bicssc 
072 7 |a SCI055000  |2 bisacsh 
072 7 |a GPFC  |2 thema 
082 0 4 |a 530.1  |2 23 
100 1 |a Schulz, Michael.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Control Theory in Physics and other Fields of Science  |h [electronic resource] :  |b Concepts, Tools, and Applications /  |c by Michael Schulz. 
250 |a 1st ed. 2006. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2006. 
300 |a IX, 296 p. 46 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Springer Tracts in Modern Physics,  |x 1615-0430 ;  |v 215 
505 0 |a Introduction -- Deterministic Control Theory -- Linear Quadratic Problems -- Control of Fields -- Chaos Control -- Non-Equilibrium Statistical Physics -- Optimal Control of Stochastic Processes -- Filters and Predictors -- Game Theory -- Optimization Problems. 
520 |a This book covers systematically and in a simple language the mathematical and physical foundations of controlling deterministic and stochastic evolutionary processes in systems with a high degree of complexity. Strong emphasis is placed on concepts, methods and techniques for modelling, assessment and the solution or estimation of control problems in an attempt to understand the large variability of these problems in several branches of physics, chemistry and biology as well as in technology and economics. The main focus of the book is on a clear physical and mathematical understanding of the dynamics and kinetics behind several kinds of control problems and their relation to self-organizing principles in complex systems. The book is a modern introduction and a helpful tool for researchers, engineers as well as post-docs and graduate students interested in an application oriented control theory and related topics. 
650 0 |a System theory. 
650 0 |a Mathematical optimization. 
650 0 |a Calculus of variations. 
650 0 |a Mathematical physics. 
650 1 4 |a Complex Systems. 
650 2 4 |a Calculus of Variations and Optimization. 
650 2 4 |a Theoretical, Mathematical and Computational Physics. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783540816911 
776 0 8 |i Printed edition:  |z 9783540295143 
830 0 |a Springer Tracts in Modern Physics,  |x 1615-0430 ;  |v 215 
856 4 0 |u https://doi.uam.elogim.com/10.1007/11374343  |z Texto Completo 
912 |a ZDB-2-PHA 
912 |a ZDB-2-SXP 
950 |a Physics and Astronomy (SpringerNature-11651) 
950 |a Physics and Astronomy (R0) (SpringerNature-43715)