National Science Library of Georgia

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Stochastic control of partially observable systems / Alain Bensoussan.

By: Material type: TextTextPublisher: Cambridge : Cambridge University Press, 1992Description: 1 online resource (vii, 352 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511526503 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 003 20
LOC classification:
  • QA402.37 .B46 1992
Online resources: Summary: The problem of stochastic control of partially observable systems plays an important role in many applications. All real problems are in fact of this type, and deterministic control as well as stochastic control with full observation can only be approximations to the real world. This justifies the importance of having a theory as complete as possible, which can be used for numerical implementation. This book first presents those problems under the linear theory that may be dealt with algebraically. Later chapters discuss the nonlinear filtering theory, in which the statistics are infinite dimensional and thus, approximations and perturbation methods are developed.
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Title from publisher's bibliographic system (viewed on 05 Oct 2015).

The problem of stochastic control of partially observable systems plays an important role in many applications. All real problems are in fact of this type, and deterministic control as well as stochastic control with full observation can only be approximations to the real world. This justifies the importance of having a theory as complete as possible, which can be used for numerical implementation. This book first presents those problems under the linear theory that may be dealt with algebraically. Later chapters discuss the nonlinear filtering theory, in which the statistics are infinite dimensional and thus, approximations and perturbation methods are developed.

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