Skip to main content

Part of the book series: Springer Text in Statistics ((STS))

  • 1191 Accesses

Abstract

The optimal control problem was defined in the last chapter as the problem of dynamically changing the system parameters in response to the system evolution so as to optimize its performance. It is more common to use the phrase “choose an action” in place of “set the parameters” in the context of control problems. The rule that specifies what action to choose as a function of the system evolution is called a policy.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer Science+Business Media New York

About this chapter

Cite this chapter

Kulkarni, V. (1999). Optimal Control. In: Modeling, Analysis, Design, and Control of Stochastic Systems. Springer Text in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3098-2_10

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-3098-2_10

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-3154-2

  • Online ISBN: 978-1-4757-3098-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics