Grancharova A.Johansen T.A.Petrova V.2024-07-102024-07-102024-07-102024-07-102016-01-012405-896310.1016/j.ifacol.2016.07.408SCOPUS_ID:84991038713https://rlib.uctm.edu/handle/123456789/405A suboptimal approach to distributed NMPC for nonlinear interconnected systems subject to constraints is proposed. The objective is to develop a computationally efficient approach. The suggested method is based on a sequential linearization of the nonlinear system dynamics and finding a suboptimal solution of the resulting Quadratic Programming problem by using distributed iterations of the dual accelerated gradient method. The benefits of the approach are reduced complexity of the on-line computations, and simple software implementation, which makes it appropriate for embedded distributed convex NMPC. The proposed method is illustrated with simulations on the model of a quadruple-tank system.enConference Paper