Hierarchical control of steady-state systems using an augmented Lagrangian tracking method with feedback

Resolution methods using feedback information, developed for the steady-state optimizing control of large-scale industrial processes, call upon the notion of the Lagrange operator. Further developments of one of these methods, to make it applicable to a problem with duality gaps and to improve the efficiency of the algorithm, are presented. The approach is based on an application of the augmented Lagrangian tracking method. The resulting control algorithm is iterative and uses feedback information from the real system