Introduction to Stochastic Control Theory
(eBook)

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Published
Dover Publications, 2012.
Status
Available Online

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Format
eBook
Language
English
ISBN
9780486138275

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Citations

APA Citation, 7th Edition (style guide)

Karl J. Åström., & Karl J. Åström|AUTHOR. (2012). Introduction to Stochastic Control Theory . Dover Publications.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Karl J. Åström and Karl J. Åström|AUTHOR. 2012. Introduction to Stochastic Control Theory. Dover Publications.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Karl J. Åström and Karl J. Åström|AUTHOR. Introduction to Stochastic Control Theory Dover Publications, 2012.

MLA Citation, 9th Edition (style guide)

Karl J. Åström, and Karl J. Åström|AUTHOR. Introduction to Stochastic Control Theory Dover Publications, 2012.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID9dd56296-5c17-449a-0c6b-39b7f5d1fffd-eng
Full titleintroduction to stochastic control theory
Authoråström karl j
Grouping Categorybook
Last Update2023-12-01 18:07:10PM
Last Indexed2024-03-28 04:36:45AM

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First LoadedJun 9, 2021
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    [synopsis] => This text for upper-level undergraduates and graduate students explores stochastic control theory in terms of analysis, parametric optimization, and optimal stochastic control. Limited to linear systems with quadratic criteria, it covers discrete time as well as continuous time systems. The first three chapters provide motivation and background material on stochastic processes, followed by an analysis of dynamical systems with inputs of stochastic processes. A simple version of the problem of optimal control of stochastic systems is discussed, along with an example of an industrial application of this theory. Subsequent discussions cover filtering and prediction theory as well as the general stochastic control problem for linear systems with quadratic criteria. Each chapter begins with the discrete time version of a problem and progresses to a more challenging continuous time version of the same problem. Prerequisites include courses in analysis and probability theory in addition to a course in dynamical systems that covers frequency response and the state-space approach for continuous time and discrete time systems.
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