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Initial Lagrange Multipliers for the Shooting Method

Authors: David G. Hull;

Initial Lagrange Multipliers for the Shooting Method

Abstract

T HE purpose of this Note is to concisely discuss the analytical aspects of a number of methods for obtaining initial Lagrange multipliers for the shooting method. Because the ultimate goal is to use the shooting method, the partial derivatives of the state equation with respect to the time, the state, and the control are available and can be used to enhance the performance of these methods. The methods considered are parameterizing the control within the shooting method, direct shooting, collocation (direct transcription), pseudospectral method, dynamic programming, and adjoint-control transformation. The intent is to discuss each of these methods briefly to present their important features. A standard optimal control problem without path constraints is stated, as are the corresponding optimality conditions. Next, a brief derivation of the shooting method is presented to show what informationwould be available for initial multiplier prediction and to show how to parameterize the control within the shooting method. Then the other methods are discussed briefly.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Average
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