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Autor Stefan Wolfgang Pickl |
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Título : Dynamical Systems : Stability, Controllability and Chaotic Behavior Tipo de documento: documento electrónico Autores: Stefan Wolfgang Pickl ; SpringerLink (Online service) ; Werner Krabs Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2010 Número de páginas: X, 238 p Il.: online resource ISBN/ISSN/DL: 978-3-642-13722-8 Idioma : Inglés (eng) Palabras clave: Mathematics Operations research Decision making Dynamics Ergodic theory Control engineering Robotics Mechatronics Dynamical Systems and Theory Operation Research/Decision Control, Robotics, Clasificación: 51 Matemáticas Resumen: At the end of the nineteenth century Lyapunov and Poincaré developed the so called qualitative theory of differential equations and introduced geometric-topological considerations which have led to the concept of dynamical systems. In its present abstract form this concept goes back to G.D. Birkhoff. This is also the starting point of Chapter 1 of this book in which uncontrolled and controlled time-continuous and time-discrete systems are investigated. Controlled dynamical systems could be considered as dynamical systems in the strong sense, if the controls were incorporated into the state space. We, however, adapt the conventional treatment of controlled systems as in control theory. We are mainly interested in the question of controllability of dynamical systems into equilibrium states. In the non-autonomous time-discrete case we also consider the problem of stabilization. We conclude with chaotic behavior of autonomous time discrete systems and actual real-world applications Nota de contenido: Uncontrolled Systems -- Controlled Systems -- Chaotic Behavior of Autonomous Time-Discrete Systems -- A Dynamical Method for the Calculation of Nash-Equilibria in n–Person Games -- Optimal Control in Chemotherapy of Cancer En línea: http://dx.doi.org/10.1007/978-3-642-13722-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33764 Dynamical Systems : Stability, Controllability and Chaotic Behavior [documento electrónico] / Stefan Wolfgang Pickl ; SpringerLink (Online service) ; Werner Krabs . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2010 . - X, 238 p : online resource.
ISBN : 978-3-642-13722-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Operations research Decision making Dynamics Ergodic theory Control engineering Robotics Mechatronics Dynamical Systems and Theory Operation Research/Decision Control, Robotics, Clasificación: 51 Matemáticas Resumen: At the end of the nineteenth century Lyapunov and Poincaré developed the so called qualitative theory of differential equations and introduced geometric-topological considerations which have led to the concept of dynamical systems. In its present abstract form this concept goes back to G.D. Birkhoff. This is also the starting point of Chapter 1 of this book in which uncontrolled and controlled time-continuous and time-discrete systems are investigated. Controlled dynamical systems could be considered as dynamical systems in the strong sense, if the controls were incorporated into the state space. We, however, adapt the conventional treatment of controlled systems as in control theory. We are mainly interested in the question of controllability of dynamical systems into equilibrium states. In the non-autonomous time-discrete case we also consider the problem of stabilization. We conclude with chaotic behavior of autonomous time discrete systems and actual real-world applications Nota de contenido: Uncontrolled Systems -- Controlled Systems -- Chaotic Behavior of Autonomous Time-Discrete Systems -- A Dynamical Method for the Calculation of Nash-Equilibria in n–Person Games -- Optimal Control in Chemotherapy of Cancer En línea: http://dx.doi.org/10.1007/978-3-642-13722-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33764 Ejemplares
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Título : Modelling, Analysis and Optimization of Biosystems Tipo de documento: documento electrónico Autores: Werner Krabs ; SpringerLink (Online service) ; Stefan Wolfgang Pickl Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2007 Número de páginas: XI, 203 p Il.: online resource ISBN/ISSN/DL: 978-3-540-71453-8 Idioma : Inglés (eng) Palabras clave: Mathematics Operations research Decision making Hematology Biology Technique Biomathematics Control engineering Robotics Mechatronics Mathematical and Computational Biological Techniques Operation Research/Decision Theory Control, Robotics, Clasificación: 51 Matemáticas Resumen: Mathematical models in biology and medicine cannot be based on natural laws as it is the case with physics and chemistry. This is due to the fact that biological and medical processes are concerned with living organisms. Mathematical models, however, can be used as a language by which certain aspects of biological or medical processes can be expressed. In general, several mathematical models can be designed in order to describe a biological or medical process and there is no unique criterion which model gives the best description. This book presents several of these models and shows applications of them to different biological and medical problems. The book shows that operations research expertise is necessary in respect to modeling, analysis and optimization of biosystems Nota de contenido: Growth Models -- A Game-Theoretic Evolution Model -- Four Models of Optimal Control in Medicine -- A Mathematical Model of Hemodialysis En línea: http://dx.doi.org/10.1007/978-3-540-71453-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34660 Modelling, Analysis and Optimization of Biosystems [documento electrónico] / Werner Krabs ; SpringerLink (Online service) ; Stefan Wolfgang Pickl . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2007 . - XI, 203 p : online resource.
ISBN : 978-3-540-71453-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Operations research Decision making Hematology Biology Technique Biomathematics Control engineering Robotics Mechatronics Mathematical and Computational Biological Techniques Operation Research/Decision Theory Control, Robotics, Clasificación: 51 Matemáticas Resumen: Mathematical models in biology and medicine cannot be based on natural laws as it is the case with physics and chemistry. This is due to the fact that biological and medical processes are concerned with living organisms. Mathematical models, however, can be used as a language by which certain aspects of biological or medical processes can be expressed. In general, several mathematical models can be designed in order to describe a biological or medical process and there is no unique criterion which model gives the best description. This book presents several of these models and shows applications of them to different biological and medical problems. The book shows that operations research expertise is necessary in respect to modeling, analysis and optimization of biosystems Nota de contenido: Growth Models -- A Game-Theoretic Evolution Model -- Four Models of Optimal Control in Medicine -- A Mathematical Model of Hemodialysis En línea: http://dx.doi.org/10.1007/978-3-540-71453-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34660 Ejemplares
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Título : Optimization and Multiobjective Control of Time-Discrete Systems : Dynamic Networks and Multilayered Structures Tipo de documento: documento electrónico Autores: Stefan Wolfgang Pickl ; SpringerLink (Online service) ; Dmitrii Lozovanu Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2009 Número de páginas: XVI, 285 p. 53 illus Il.: online resource ISBN/ISSN/DL: 978-3-540-85025-0 Idioma : Inglés (eng) Palabras clave: Mathematics Operations research Decision making Calculus of variations Control engineering Robotics Mechatronics Quality control Reliability Industrial safety Variations and Optimal Control; Optimization Operation Research/Decision Theory Control, Reliability, Safety Risk Robotics, Clasificación: 51 Matemáticas Resumen: The study of discrete structures and networks becomes more and more important in decision theory. A relevant topic in modern control theory reflecting this fact is concerned with multiobjective control problems and dynamical games. The monograph presents recent developments and applications in the field of multiobjective control of time-discrete systems with a finite set of states. The dynamics of such systems is described by a directed graph in which each vertex corresponds to a dynamic state and the edges correspond to transitions of the system moving from one state to another. This characterization allows us to formulate the considered control models on special dynamic networks. Suitable algorithms are derived exploiting multilayered structures. Game theoretical properties are characterized. A multilayered game on a network can be used to model a certain trading procedure of emission certificates within Kyoto process. Optimal economic behavior and equilibria can be determined Nota de contenido: Multi-Objective Control of Time-Discrete Systems and Dynamic Games on Networks -- Max-Min Control Problems and Solving Zero-Sum Games on Networks -- Extension and Generalization of Discrete Control Problems and Algorithmic Approaches for its Solving -- Discrete Control and Optimal Dynamic Flow Problems on Networks -- Applications and Related Topics En línea: http://dx.doi.org/10.1007/978-3-540-85025-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34030 Optimization and Multiobjective Control of Time-Discrete Systems : Dynamic Networks and Multilayered Structures [documento electrónico] / Stefan Wolfgang Pickl ; SpringerLink (Online service) ; Dmitrii Lozovanu . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2009 . - XVI, 285 p. 53 illus : online resource.
ISBN : 978-3-540-85025-0
Idioma : Inglés (eng)
Palabras clave: Mathematics Operations research Decision making Calculus of variations Control engineering Robotics Mechatronics Quality control Reliability Industrial safety Variations and Optimal Control; Optimization Operation Research/Decision Theory Control, Reliability, Safety Risk Robotics, Clasificación: 51 Matemáticas Resumen: The study of discrete structures and networks becomes more and more important in decision theory. A relevant topic in modern control theory reflecting this fact is concerned with multiobjective control problems and dynamical games. The monograph presents recent developments and applications in the field of multiobjective control of time-discrete systems with a finite set of states. The dynamics of such systems is described by a directed graph in which each vertex corresponds to a dynamic state and the edges correspond to transitions of the system moving from one state to another. This characterization allows us to formulate the considered control models on special dynamic networks. Suitable algorithms are derived exploiting multilayered structures. Game theoretical properties are characterized. A multilayered game on a network can be used to model a certain trading procedure of emission certificates within Kyoto process. Optimal economic behavior and equilibria can be determined Nota de contenido: Multi-Objective Control of Time-Discrete Systems and Dynamic Games on Networks -- Max-Min Control Problems and Solving Zero-Sum Games on Networks -- Extension and Generalization of Discrete Control Problems and Algorithmic Approaches for its Solving -- Discrete Control and Optimal Dynamic Flow Problems on Networks -- Applications and Related Topics En línea: http://dx.doi.org/10.1007/978-3-540-85025-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34030 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Optimization of Stochastic Discrete Systems and Control on Complex Networks / Dmitrii Lozovanu (2015)
Título : Optimization of Stochastic Discrete Systems and Control on Complex Networks : Computational Networks Tipo de documento: documento electrónico Autores: Dmitrii Lozovanu ; SpringerLink (Online service) ; Stefan Wolfgang Pickl Editorial: Cham : Springer International Publishing Fecha de publicación: 2015 Otro editor: Imprint: Springer Colección: Advances in Computational Management Science, ISSN 1388-4301 num. 12 Número de páginas: XIX, 400 p. 54 illus Il.: online resource ISBN/ISSN/DL: 978-3-319-11833-8 Idioma : Inglés (eng) Palabras clave: Business Operations research Decision making Algorithms Mathematical optimization Management science and Operation Research/Decision Theory Optimization Research, Science Discrete Algorithm Analysis Problem Complexity Clasificación: 658 Empresas. Organización de empresas Resumen: This book presents the latest findings on stochastic dynamic programming models and on solving optimal control problems in networks. It includes the authors’ new findings on determining the optimal solution of discrete optimal control problems in networks and on solving game variants of Markov decision problems in the context of computational networks. First, the book studies the finite state space of Markov processes and reviews the existing methods and algorithms for determining the main characteristics in Markov chains, before proposing new approaches based on dynamic programming and combinatorial methods. Chapter two is dedicated to infinite horizon stochastic discrete optimal control models and Markov decision problems with average and expected total discounted optimization criteria, while Chapter three develops a special game-theoretical approach to Markov decision processes and stochastic discrete optimal control problems. In closing, the book’s final chapter is devoted to finite horizon stochastic control problems and Markov decision processes. The algorithms developed represent a valuable contribution to the important field of computational network theory Nota de contenido: Discrete stochastic processes, numerical methods for Markov chains and polynomial time algorithms -- Stochastic optimal control problems and Markov decision processes with infinite time horizon -- A game-theoretical approach to Markov decision processes, stochastic positional games and multicriteria control models -- Dynamic programming algorithms for finite horizon control problems and Markov decision processes En línea: http://dx.doi.org/10.1007/978-3-319-11833-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35502 Optimization of Stochastic Discrete Systems and Control on Complex Networks : Computational Networks [documento electrónico] / Dmitrii Lozovanu ; SpringerLink (Online service) ; Stefan Wolfgang Pickl . - Cham : Springer International Publishing : Imprint: Springer, 2015 . - XIX, 400 p. 54 illus : online resource. - (Advances in Computational Management Science, ISSN 1388-4301; 12) .
ISBN : 978-3-319-11833-8
Idioma : Inglés (eng)
Palabras clave: Business Operations research Decision making Algorithms Mathematical optimization Management science and Operation Research/Decision Theory Optimization Research, Science Discrete Algorithm Analysis Problem Complexity Clasificación: 658 Empresas. Organización de empresas Resumen: This book presents the latest findings on stochastic dynamic programming models and on solving optimal control problems in networks. It includes the authors’ new findings on determining the optimal solution of discrete optimal control problems in networks and on solving game variants of Markov decision problems in the context of computational networks. First, the book studies the finite state space of Markov processes and reviews the existing methods and algorithms for determining the main characteristics in Markov chains, before proposing new approaches based on dynamic programming and combinatorial methods. Chapter two is dedicated to infinite horizon stochastic discrete optimal control models and Markov decision problems with average and expected total discounted optimization criteria, while Chapter three develops a special game-theoretical approach to Markov decision processes and stochastic discrete optimal control problems. In closing, the book’s final chapter is devoted to finite horizon stochastic control problems and Markov decision processes. The algorithms developed represent a valuable contribution to the important field of computational network theory Nota de contenido: Discrete stochastic processes, numerical methods for Markov chains and polynomial time algorithms -- Stochastic optimal control problems and Markov decision processes with infinite time horizon -- A game-theoretical approach to Markov decision processes, stochastic positional games and multicriteria control models -- Dynamic programming algorithms for finite horizon control problems and Markov decision processes En línea: http://dx.doi.org/10.1007/978-3-319-11833-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35502 Ejemplares
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