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Part of the book series: Applications of Mathematics ((SMAP,volume 30))

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Abstract

In an optimal control problem, we are given a dynamical system whose behavior may be influenced or regulated by a suitable choice of some of the system’s variables, which are called control—or action or decisionvariables. The controls that can be applied at any given time are chosen according to “rules” known as control policies. In addition, we are given a function called a performance criterion (or performance index), defined on the set of control policies, which measures or evaluates in some sense the system’s response to the control policies being used. Then the optimal control problem is to determine a control policy that optimizes (i.e., either minimizes or maximizes) the performance criterion.

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© 1996 Springer Science+Business Media New York

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Hernández-Lerma, O., Lasserre, J.B. (1996). Introduction and Summary. In: Discrete-Time Markov Control Processes. Applications of Mathematics, vol 30. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0729-0_1

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  • DOI: https://doi.org/10.1007/978-1-4612-0729-0_1

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-6884-0

  • Online ISBN: 978-1-4612-0729-0

  • eBook Packages: Springer Book Archive

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