Two-level optimization techniques for dynamic systems

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Abstract
Techniques have been developed to date for the decomposition of complex interacting systems and their optimization through multilevel techniques. A second level Newton-Raphson controller that removes some of the restrictions of the second level gradient controller is developed in this paper. Simple examples are worked to demonstrate the techniques and to compare the two types of controllers. The re-optimization required of the subsystems after each iteration of the second level may be offset by the advantages of smaller subsystem optimization problems and the ability to use different optimization methods for different subsystems.

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