Optimization dynamical systems (101 resultados)
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Serie: Lecture Notes in Economics and Mathematical Systems, Libro 69 de 126. Libro 69 de 126 - Lecture Notes in Economics and Mathematical Systems
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Serie: Systems & Control: Foundations & Applications, Libro 2 de 55. Libro 2 de 55 - Systems & Control: Foundations & Applications
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Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780471319757.
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Serie: Lecture Notes in Economics and Mathematical Systems, Libro 69 de 126. Libro 69 de 126 - Lecture Notes in Economics and Mathematical Systems
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Paperback. Condición: new. Paperback. J. P. La Salle has developed in [20] a stability theory for systems of difference equations (see also [8]) which we introduce in the first chapter within the framework of metric spaces. The stability theory for such systems can also be found in [13] in a slightly modified form. We start with… autonomous systems in the first section of chapter 1. After theoretical preparations we examine the localization of limit sets with the aid of Lyapunov Functions. Applying these Lyapunov Functions we can develop a stability theory for autonomous systems. If we linearize a non-linear system at a fixed point we are able to develop a stability theory for fixed points which makes use of the Frechet derivative at the fixed point. The next subsection deals with general linear systems for which we intro duce a new concept of stability and asymptotic stability that we adopt from [18]. Applications to various fields illustrate these results. We start with the classical predator-prey-model as being developed and investigated by Volterra which is based on a 2 x 2-system of first order differential equations for the densities of the prey and predator population, respectively. This model has also been investigated in [13] with respect to stability of its equilibrium via a Lyapunov function. Here we consider the discrete version of the model. If we linearize a non-linear system at a fixed point we are able to develop a stability theory for fixed points which makes use of the Frechet derivative at the fixed point. The next subsection deals with general linear systems for which we intro duce a new concept of stability and asymptotic stability that we adopt from [18]. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Serie: Systems & Control: Foundations & Applications, Libro 2 de 55. Libro 2 de 55 - Systems & Control: Foundations & Applications
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Condición: Gut. XI, 326 Seiten Zust: Gutes Exemplar. Buchblock invers zu Einband. Schneller Versand und persönlicher Service - jedes Buch händisch geprüft und beschrieben - aus unserem Familienbetrieb seit über 25 Jahren. Eine Rechnung mit ausgewiesener Mehrwertsteuer liegt jeder unserer Lieferungen bei. Wir versenden mit der de…utschen Post. Sprache: Englisch Gewicht in Gramm: 636 gebundene Ausgabe gebundene Ausgabe.
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Serie: Lecture Notes in Economics and Mathematical Systems, Libro 69 de 126. Libro 69 de 126 - Lecture Notes in Economics and Mathematical Systems
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Serie: Lecture Notes in Economics and Mathematical Systems, Libro 69 de 126. Libro 69 de 126 - Lecture Notes in Economics and Mathematical Systems
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Serie: Lecture Notes in Economics and Mathematical Systems, Libro 69 de 126. Libro 69 de 126 - Lecture Notes in Economics and Mathematical Systems
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Applied Dynamic Programming For Optimization Of Dynamical Systems
Robinett, Rush D., III; Wilson, David G.; Eisler, G. Richard; Hurtado, John E.; Robinett, Rush D., III (EDT)
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Applied Dynamic Programming For Optimization Of Dynamical Systems
Robinett, Rush D., III; Wilson, David G.; Eisler, G. Richard; Hurtado, John E.; Robinett, Rush D., III (EDT)
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Applied Dynamic Programming for Optimization of Dynamical Systems
Rush D. Robinett III, G. Richard Eisler, John E. Hurtado, David G. Wilson
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Hardback. Condición: New. Based on the results of over 10 years of research and development by the authors, this book presents a broad cross section of dynamic programming (DP) techniques applied to the optimization of dynamical systems. The main goal of the research effort was to develop a robust path planning/trajectory optimi…zation tool that did not require an initial guess. The goal was partially met with a combination of DP and homotopy algorithms. DP algorithms are presented here with a theoretical development, and their successful application to variety of practical engineering problems is emphasized. Applied Dynamic Programming for Optimization of Dynamical Systems presents applications of DP algorithms that are easily adapted to the reader's own interests and problems. The book is organized in such a way that it is possible for readers to use DP algorithms before thoroughly comprehending the full theoretical development. A general architecture is introduced for DP algorithms emphasizing the solution to nonlinear problems. DP algorithm development is introduced gradually with illustrative examples that surround linear systems applications. Many examples and explicit design steps applied to case studies illustrate the ideas and principles behind DP algorithms.DP algorithms potentially address a wide class of applications composed of many different physical systems described by dynamical equations of motion that require optimized trajectories for effective maneuverability. The DP algorithms determine control inputs and corresponding state histories of dynamic systems for a specified time while minimizing a performance index. Constraints may be applied to the final states of the dynamic system or to the states and control inputs during the transient portion of the manoeuvre.
Applied Dynamic Programming For Optimization Of Dynamical Systems
Robinett, Rush D., III; Wilson, David G.; Eisler, G. Richard; Hurtado, John E.; Robinett, Rush D., III (EDT)
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Applied Dynamic Programming For Optimization Of Dynamical Systems
Robinett, Rush D., III; Wilson, David G.; Eisler, G. Richard; Hurtado, John E.; Robinett, Rush D., III (EDT)
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Nonlinear Dynamical Control, Computer Simulation and Optimization Systems: Theory and Applications (Systems Science & Nonlinear Intelligence Dynamics)
Baleanu, Dumitru; Özdemir, Necati; Karaca, Yeliz; Janardhanan, Mukund N; Evirgen, Firat; Kucukkoc, Ibrahim
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - J. P. La Salle has developed in [20] a stability theory for systems of difference equations (see also [8]) which we introduce in the first chapter within the framework of metric spaces. The stability theory for such systems can also be found in [13…] in a slightly modified form. We start with autonomous systems in the first section of chapter 1. After theoretical preparations we examine the localization of limit sets with the aid of Lyapunov Functions. Applying these Lyapunov Functions we can develop a stability theory for autonomous systems. If we linearize a non-linear system at a fixed point we are able to develop a stability theory for fixed points which makes use of the Frechet derivative at the fixed point. The next subsection deals with general linear systems for which we intro duce a new concept of stability and asymptotic stability that we adopt from [18]. Applications to various fields illustrate these results. We start with the classical predator-prey-model as being developed and investigated by Volterra which is based on a 2 x 2-system of first order differential equations for the densities of the prey and predator population, respectively. This model has also been investigated in [13] with respect to stability of its equilibrium via a Lyapunov function. Here we consider the discrete version of the model.
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Paperback. Condición: new. Paperback. J. P. La Salle has developed in [20] a stability theory for systems of difference equations (see also [8]) which we introduce in the first chapter within the framework of metric spaces. The stability theory for such systems can also be found in [13] in a slightly modified form. We start with… autonomous systems in the first section of chapter 1. After theoretical preparations we examine the localization of limit sets with the aid of Lyapunov Functions. Applying these Lyapunov Functions we can develop a stability theory for autonomous systems. If we linearize a non-linear system at a fixed point we are able to develop a stability theory for fixed points which makes use of the Frechet derivative at the fixed point. The next subsection deals with general linear systems for which we intro duce a new concept of stability and asymptotic stability that we adopt from [18]. Applications to various fields illustrate these results. We start with the classical predator-prey-model as being developed and investigated by Volterra which is based on a 2 x 2-system of first order differential equations for the densities of the prey and predator population, respectively. This model has also been investigated in [13] with respect to stability of its equilibrium via a Lyapunov function. Here we consider the discrete version of the model. If we linearize a non-linear system at a fixed point we are able to develop a stability theory for fixed points which makes use of the Frechet derivative at the fixed point. The next subsection deals with general linear systems for which we intro duce a new concept of stability and asymptotic stability that we adopt from [18]. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
