Invariant imbedding and parallelism in dynamic-programming for feedback-control

Invariant imbedding and parallelism in dynamic-programming for feedback-control

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Article ID: iaor19962235
Country: United States
Volume: 87
Issue: 1
Start Page Number: 121
End Page Number: 140
Publication Date: Jul 1995
Journal: Journal of Optimization Theory and Applications
Authors: ,
Keywords: control
Abstract:

This paper investigates related areas such as invariant imbedding, state feedback, and numerical and parallel methods in order to specify the range of control problems amenable to a dynamic programming approach. Several forms of functional equations are classified according to different applications of the invariant imbedding principle and corresponding closed-loop control structures. Computational methods to implement these algorithms are described, and a complexity analysis is made to determine their effectiveness and to explain their application domain. The design of parallel algorithms is also considered. Alternative descriptions are compared; the frame of a distributed computational method delivering tabular feedback solutions is highlighted.

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