Title :
The stagewise Kuhn-Tucker condition and differential dynamic programming
Author :
Yakowitz, Sidney J.
Author_Institution :
University of Arizona, Tucson, AZ, USA
fDate :
1/1/1986 12:00:00 AM
Abstract :
The intention of this work is to describe and examine a differential dynamic programming (DDP) algorithm for constrained, discrete-time optimal control. This algorithm has performed successfully on a large-scale reservoir control problem [11]. The present paper gives conditions under which convergence to the stationary policy is assured. The convergence demonstration hinges upon a notion which we refer to as the "stagewise" Kuhn-Tucker condition. Strategies generated to satisfy this condition determine policies which satisfy the conventional Kuhn-Tucker condition. This observation may be of wider importance in discrete optimal control theory, for the stagewise condition might be a convenient criterion for constructing strategies.
Keywords :
Discrete-time systems; Dynamic programming; Optimal control; Convergence; Dynamic programming; Fasteners; Functional programming; Helium; Heuristic algorithms; Jacobian matrices; Large-scale systems; Optimal control; Reservoirs;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1986.1104123