Počet záznamů: 1
Fully probabilistic control design in an adaptive critic framework
- 1.
SYSNO ASEP 0364820 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Fully probabilistic control design in an adaptive critic framework Tvůrce(i) Herzallah, R. (JO)
Kárný, Miroslav (UTIA-B) RID, ORCIDZdroj.dok. Neural Networks. - : Elsevier - ISSN 0893-6080
Roč. 24, č. 10 (2011), s. 1128-1135Poč.str. 8 s. Jazyk dok. eng - angličtina Země vyd. GB - Velká Británie Klíč. slova Stochastic control design ; Fully probabilistic design ; Adaptive control ; Adaptive critic Vědní obor RIV BC - Teorie a systémy řízení CEP GA102/08/0567 GA ČR - Grantová agentura ČR CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000297000300012 EID SCOPUS 80054779788 DOI 10.1016/j.neunet.2011.06.006 Anotace Optimal stochastic controller pushes the closed-loop behavior as close as possible to the desired one. The fully probabilistic design (FPD) uses probabilistic description of the desired closed loop and minimizes Kullback–Leibler divergence of the closed-loop description to the desired one. Practical exploitation of the fully probabilistic design control theory continues to be hindered by the computational complexities involved in numerically solving the associated stochastic dynamic programming problem; in particular, very hard multivariate integration and an approximate interpolation of the involved multivariate functions. This paper proposes a new fully probabilistic control algorithm that uses the adaptive critic methods to circumvent the need for explicitly evaluating the optimal value function, thereby dramatically reducing computational requirements. This is a main contribution of this paper. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2012
Počet záznamů: 1