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  3. Stochastic Control of Partially Observable Systems
  • Cited by 384
Publisher:
Cambridge University Press
Online publication date:
September 2009
Print publication year:
1992
Online ISBN:
9780511526503
DOI:
https://doi.org/10.1017/CBO9780511526503
Subjects:
Optimization, OR and risk, Applied Probability and Stochastic Networks, Statistics and Probability
Information

Book description

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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