Coordination of Large-Scale Systems Using a New Interaction Prediction Approach

In this paper, a new interaction prediction approach is presented for optimal control of nonlinear large- scale systems. The proposed approach uses a new gradient-type coordination scheme which has a larger convergence region with respect to the parameters´ variation, and also has a good convergence rate. In this approach, the coordination vector is updated using the gradient of coordination error. This type of coordination considerably reduces the number of iterations. The robustness and the convergence rate of the proposed approach against the best classical interaction prediction approaches are shown through simulations of a benchmark problem.