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Stochastic Maximum Principle

Encyclopedia of Systems and Control

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Abstract

The stochastic maximum principle (SMP) gives some necessary conditions for optimality for a stochastic optimal control problem. We give a summary of well-known results concerning stochastic maximum principle in finite-dimensional state space as well as some recent developments in infinite-dimensional state space.

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Authors and Affiliations

  1. IRMAR, Université Rennes 1, Rennes Cedex, France

    Ying Hu

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  1. Ying Hu
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Correspondence to Ying Hu .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Boston University, Boston, Massachusetts, USA

    John Baillieul

  2. Automation and Control Solutions, Honeywell, Golden Valley, Minnesota, USA

    Tariq Samad

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© 2014 Springer-Verlag London

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Hu, Y. (2014). Stochastic Maximum Principle. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_229-1

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_229-1

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  • Publisher Name: Springer, London

  • Online ISBN: 978-1-4471-5102-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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Chapter history

  1. Latest

    Stochastic Maximum Principle
    Published:
    06 November 2019

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_229-2

  2. Original

    Stochastic Maximum Principle
    Published:
    21 March 2014

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_229-1

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