Conditional Markov processes and Their Application to the Theory of Optimal Control
Second edition
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Author
Publication
1968 - American Elsevier Pub. Co., New York, New York (State)
Language
English
Translation of: Uslovnye markovskie prot͡s︡essy
Word Count
92,500 words, Guess
Page Count
370 pages
Physical Format
Hardcover
Identifiers
- Open LibraryOL5549422M
- ISBN-139780444000279
- ISBN-100444000275
- OCLC Control Number643261908
- OCLC Control Number349954
and 4 more
- OCLC Control Numberconditionalmarko0000stra
- Library of Congress Control Number67028450
- Amazon0444000275
- Goodreads24378936
Classifications
- DDC519/.1
- LCCQA273 .S7613
Alternate Titles
- Uslovnye markovskie prot͡s︡essy
Description
The adoption of the state space description of systems has led to substantial advances in optimal control and filtering theory in recent years. This volume, will be appreciated only by those specialists who are working in the domain of applied statistics and control engineering and by a few advanced graduate students with mathematical background. Nevertheless the problems considered are mathematically rigorous, interesting and practically important, and this book shall reward the perseverance of any reader with the necessary mathematical background. Stratonovich has been a major influence in the development of the subject.
Description
Using this description the statex(j, w) of the system and the (noisy) observation y{j, w) of thestate are Markov Processes. The basic problem in optimalfiltering becomes the derivation of equations describing theevolution of the probability distribution of x(j) conditionalin the available observations y{j), re[t0, t], or the evolutionof some risk function determined by the posterior distribution.The optimal control problem becomes the determination ofa realisable control (function of t and the available observa-tions) to minimise an expected risk. To deal rigorouslywith these continuous-time conditional Markov processesrequires the development of mathematical tools of the samekind as those available for Markov processes, and this is oneof the main intentions of the present volume.
Subjects
Topics
Series Statement
- Modern analytic and computational methods in science and mathematics
Other Editions
- Conditional Markov processes and Their Application to the Theory of Optimal Control
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