## Abstract

Problems of convergence and stability of Bayesian estimates in the identification of stochastic control systems are considered. The informational measure of the mismatch between the estimated distribution and the estimate is the main apparatus for establishing the fact of convergence. The choice of a priori distribution of parameters is not always obvious. The Kullback-Leibler information number is taken as such measure. The convergence of the estimates of the transition function of the process to the non-stationary transition function is established in this paper. The problem of synthesis of optimal strategies for dynamic systems in which there is no part of the main information needed for constructing the optimal control is also considered. It is assumed that the system contains at least one unknown parameter belonging to some parameter space. Therefore, the class of control systems considered in the article is the class of parametric adaptive systems.

Original language | English |
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Title of host publication | Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings |

Editors | Beniamino Murgante, Osvaldo Gervasi, Elena Stankova, Vladimir Korkhov, Sanjay Misra, Carmelo Torre, Eufemia Tarantino, David Taniar, Ana Maria A.C. Rocha, Bernady O. Apduhan |

Publisher | Springer Nature |

Pages | 691-701 |

Number of pages | 11 |

ISBN (Print) | 9783030243043 |

DOIs | |

State | Published - 1 Jan 2019 |

Event | 19th International Conference on Computational Science and Its Applications, ICCSA 2019 - Saint Petersburg, Russian Federation Duration: 1 Jul 2019 → 4 Jul 2019 Conference number: 19 |

### Publication series

Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11622 LNCS |

ISSN (Print) | 0302-9743 |

ISSN (Electronic) | 1611-3349 |

### Conference

Conference | 19th International Conference on Computational Science and Its Applications, ICCSA 2019 |
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Abbreviated title | ICCSA 2019 |

Country | Russian Federation |

City | Saint Petersburg |

Period | 1/07/19 → 4/07/19 |

## Scopus subject areas

- Theoretical Computer Science
- Computer Science(all)

## Keywords

- Bayesian probability theory
- Kullback-Leibler information number
- Parameter estimation