Title :
On the existence of stationary optimal receding-horizon strategies for dynamic teams with common past information structures
Author :
Aicardi, M. ; Casalino, G. ; Minciardi, R. ; Zoppoli, R.
Author_Institution :
Dept. of Commun., Comput. & Syst. Sci., Genoa Univ., Italy
fDate :
11/1/1992 12:00:00 AM
Abstract :
For a linear-quadratic-Gaussian (LQG) team control problem characterized by a partial nestedness of the information structure, and by the existence of a common past information set previous results have established the existence of a sufficient statistic. Since, even under the assumptions made, the determination of optimal strategies over an infinite control horizon remains a difficult problem, the use of a receding horizon control scheme is considered. Unfortunately, the use of such a scheme within a decentralized control framework still yields, in general, time-varying strategies. A condition for the existence of stationary team optimal receding horizon strategies is provided
Keywords :
decentralised control; game theory; optimal control; LQG control; decentralized control; dynamic teams; game theory; linear quadratic Gaussian team control; optimal control; partial nestedness; stationary optimal receding-horizon strategies; Communication system control; Control systems; Distributed control; Equations; Infinite horizon; Linear systems; Optimal control; Statistics; Vectors;
Journal_Title :
Automatic Control, IEEE Transactions on