Two-level dynamic optimization methods
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Abstract
The search for the optimum control of complex static or dynamic processes according toconventional optimization methods involves many problems due, in particular, to the volume and complexity of calculations. And, as the dimensions of the systems studied increases steadily, even if a theoretical solution is still possible, an acceptable solution from the economic standpoint can no longer be hoped for.
To overcome these difficulties, an effective means is certainly the introduction of multilevel optimization methods. The use of such a technique for a static optimization of complex systems has already been discussed, and the problems of dynamic optimization are dealt with here. As for static systems, three decomposition methods can be applied. The different tasks to which they lead are examined for each of the levels, and the stability of coordinators is studied.
Key Words
Decomposition methods large-scale systems calculus of variations control theory multidimensional control problemsPreview
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References
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