Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI | http://purl.tuc.gr/dl/dias/7710D1F0-8A6C-4AD5-A7B0-84BF8CCA5A4A | - |
| Αναγνωριστικό | https://doi.org/ 10.1109/9.35279 | - |
| Γλώσσα | en | - |
| Μέγεθος | 4 pages | en |
| Τίτλος | Estimation and control of systems with unknown covariance and multiplicative noise | en |
| Δημιουργός | Yannis Phillis | en |
| Δημιουργός | Φιλλης Ιωαννης | el |
| Εκδότης | IEEE | en |
| Περίληψη | The problem of estimation and control for systems with multiplicative noise and unknown second-order statistics is considered. Conditions are found for the existence of a solution based on game theoretic ideas. The conditions for the existence of a saddle point for the time-invariant filtering problem are necessary and sufficient, whereas for all other cases only necessary. The central idea of the solution is to convert the stochastic problem to a deterministic optimal control problem whose minimax point is sought with respect to the control, filter, and unknown statistics parameters. The results that are derived show that the problem of estimation for systems with unknown covariances depends on the costate matrix, which in turn is a function of the performance measure. Thus, the filter loses one of its best known properties, that of independence of the performance functional. This property holds not only for the classical Kalman filter but also for multiplicative systems | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-10-06 | - |
| Ημερομηνία Δημοσίευσης | 1989 | - |
| Θεματική Κατηγορία | Greek mathematics | en |
| Θεματική Κατηγορία | mathematics greek | en |
| Θεματική Κατηγορία | greek mathematics | en |
| Βιβλιογραφική Αναφορά | Υ. Α. Phillis, "Estimation and control of systems with unknown covariance and multiplicative noise," IEEE Trans. on Aut. Control, vol. 34, no. 10, pp. 1075-1078, 1989.doi : 10.1109/9.35279 | el |
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