0093422 20240103185120.020080103235959.9 Praha ÚTIA AV ČR 2007 16 s. Research Report 2214 adaptive feed=forward control approximation cav_un_auth*0101124 Kárný Miroslav UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. 1M0572 GA MŠk cav_un_auth*0001814 2C06001 GA MŠk cav_un_auth*0217685 CEZ:AV0Z10750506 Feed-forward controllers are important in a range of control problems. Their importance is obvious in tasks in which potential of feedback control is limited, for instance, in systems with long transportation delays. Formally, their design can be approached by a standard methodology of optimal stochastic control. It can be consistently performed by combining Bayesian learning and dynamic programming. This formal solution can, however, rarely be converted into a computationally feasible algorithms. Thus, various approximations are searched for. The current report deals with a specific type of approximation based on a projection of optimal /emph{anticipating} control strategy to a non-anticipating one. This approximation way suits to the feed-forward control in which the selected system inputs influence the state of the controller but not the system-related data used in the feed-forward loop. V práci je popsán speciální návrh adaptivní dopředné vazby založený na neanticipativní aproximaci optimální anticipativní strategie. 2008 BB http://hdl.handle.net/11104/0153477 2007 2007 Praha ÚTIA AV ČR