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An efficient algorithm for solving optimal control problems with linear terminal constraints

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2 Author(s)
Sirisena, H.R. ; University of Cantebury, Christchurch, New Zealand ; Chou, F.

The optimization of nonlinear systems subject to linear terminal state variable constraints is considered. A technique for solving this class of problems is proposed that involves a piecewise polynomial parameterization of the system variables. The optimal control problem is thereby reduced to a linearly constrained parameter optimization problem which can be solved efficiently using the quadratically convergent Gold-farb-Lapidus algorithm. Illustrative numerical examples are presented.

Published in:

Automatic Control, IEEE Transactions on  (Volume:21 ,  Issue: 2 )

Date of Publication:

Apr 1976

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