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An improved forward algorithm for optimal control of a class of hybrid systems

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2 Author(s)
Ping Zhang ; Dept. of Manuf. Eng., Boston Univ., MA, USA ; Cassandras, C.G.

Considers optimal control problems for a class of hybrid systems motivated by the structure of manufacturing environments that integrate process and operations control. We derive a new property of the optimal state trajectory structure which holds under a modified condition on the cost function. This allows us to develop a low-complexity, scalable algorithm for explicitly determining the optimal controls, which can be more efficient than the best algorithm to date, known as the forward algorithm. A numerical example is included to illustrate the efficacy of the proposed algorithm, and to compare it with the forward algorithm.

Published in:

Automatic Control, IEEE Transactions on  (Volume:47 ,  Issue: 10 )