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Titlebook: An Introduction to Optimal Control Theory; The Dynamic Programm Onésimo Hernández-Lerma,Leonardo R. Laura-Guarachi Textbook 2023 The Editor

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期刊全称An Introduction to Optimal Control Theory
期刊简称The Dynamic Programm
影响因子2023Onésimo Hernández-Lerma,Leonardo R. Laura-Guarachi
视频video
发行地址Introduces application of long-run average (ergodic) cost problems for deterministic systems.Provides overview of deterministic & stochastic systems with discrete and continuous time parameter.Applies
学科分类Texts in Applied Mathematics
图书封面Titlebook: An Introduction to Optimal Control Theory; The Dynamic Programm Onésimo Hernández-Lerma,Leonardo R. Laura-Guarachi Textbook 2023 The Editor
影响因子.This book introduces optimal control problems for large families of deterministic and stochastic systems with discrete or continuous time parameter. These families include most of the systems studied in many disciplines, including Economics, Engineering, Operations Research, and Management Science, among many others..The main objective is to give a concise, systematic, and reasonably self contained presentation of some key topics in optimal control theory. To this end, most of the analyses are based on the dynamic programming (DP) technique. This technique is applicable to almost all control problems that appear in theory and applications. They include, for instance, finite and infinite horizon control problems in which the underlying dynamic system follows either a deterministic or stochastic difference or differential equation. In the infinite horizon case, it also uses DP to study undiscounted problems, such as the ergodic or long-run average cost... After a general introduction to control problems, the book covers the topic dividing into four parts with different dynamical systems: control of discrete-time deterministic systems, discrete-time stochastic systems, ordinary diffe
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Introduction: Optimal Control Problems,e in which the system is functioning, then they form . or .. On the other hand, we are also given an . or . that somehow measures the system’s response to each control policy. The OCP is then to find a control policy that optimizes the given objective function.
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,Continuous–Time Markov Control Processes,ems. We will begin below with some comments on (noncontrolled) continuous–time Markov processes. (We only wish to motivate some concepts, so our presentation is not very precise. For further details, see the bibliographical notes at the end of this chapter.)
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0939-2475 duction to control problems, the book covers the topic dividing into four parts with different dynamical systems: control of discrete-time deterministic systems, discrete-time stochastic systems, ordinary diffe978-3-031-21141-6978-3-031-21139-3Series ISSN 0939-2475 Series E-ISSN 2196-9949
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