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Book synopsis

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.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: Introduction to Optimal Control Theory
• Subtitle: The Dynamic Programming Approach
• Author: David González-Sánchez, Onésimo Hernández-Lerma, Leonardo Ramiro Laura-Guarachi, Saúl Mendoza-Palacios
• Language: English
• Binding: Hardback
• Number of pages: 273
• EAN: 9783031211386
• ID: 41908328
• Publisher: Springer International Publishing AG
• Dimensions: 235 × 155 mm
• Date of publishing: 18. January 2023

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