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Dynamic programming algorithm for optimizing distributed parameter trajectories with constraints

✍ Scribed by K.Y.K. Ng; N.G.F. Sancho


Publisher
Elsevier Science
Year
1980
Tongue
English
Weight
533 KB
Volume
16
Category
Article
ISSN
0005-1098

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✦ Synopsis


This paper develops an iterative algorithm for solving dynamic programming problems with state and control inequality constraints. The advantage of the algorithm is that it reduces the dimensionality difficulties. The technique is then employed to evaluate the optimum state and control responses of certain distributed regulator systems. During each iteration, the set of admissible states is restricted only to those two stages 'near' the nominal trajectory. It is shown that our proposed algorithm cuts down the storage requirement significantly.


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