Stochastic control of partially observable systems:
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 i...
Gespeichert in:
| Beteilige Person: | |
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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
1992
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| Links: | https://doi.org/10.1017/CBO9780511526503 |
| Zusammenfassung: | 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. |
| Umfang: | 1 Online-Ressource (vii, 352 Seiten) |
| ISBN: | 9780511526503 |
Internformat
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| 245 | 1 | 0 | |a Stochastic control of partially observable systems |c Alain Bensoussan |
| 264 | 1 | |a Cambridge |b Cambridge University Press |c 1992 | |
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| 520 | |a 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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| indexdate | 2025-03-03T11:58:07Z |
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| isbn | 9780511526503 |
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| spelling | Bensoussan, Alain Stochastic control of partially observable systems Alain Bensoussan Cambridge Cambridge University Press 1992 1 Online-Ressource (vii, 352 Seiten) txt c cr 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. Erscheint auch als Druck-Ausgabe 9780521354035 Erscheint auch als Druck-Ausgabe 9780521611978 |
| spellingShingle | Bensoussan, Alain Stochastic control of partially observable systems |
| title | Stochastic control of partially observable systems |
| title_auth | Stochastic control of partially observable systems |
| title_exact_search | Stochastic control of partially observable systems |
| title_full | Stochastic control of partially observable systems Alain Bensoussan |
| title_fullStr | Stochastic control of partially observable systems Alain Bensoussan |
| title_full_unstemmed | Stochastic control of partially observable systems Alain Bensoussan |
| title_short | Stochastic control of partially observable systems |
| title_sort | stochastic control of partially observable systems |
| work_keys_str_mv | AT bensoussanalain stochasticcontrolofpartiallyobservablesystems |