Optimization of Adaptive Co-Ordination Based on Interaction Prediction Approach

Abstract

For parameters don't fully know big system optimization problems, establish adaptive co-ordination optimization control system, applying interaction prediction approach (IPA), will be predicted interaction output as coordination variables, with given objective optimal criteria in comparison, for this variable iteration calculations, make its eventually become the optimization of satisfying the objective optimization criterion, and can obtain corresponding to this optimization output system optimal control. This method compared with correlation decoupling method, only to meet the control number greater than or equal to the output number conditions, can be directly object-oriented feasibility coordination optimization methods.