Distributed predictive control based on Gaussian process models. (March 2023)

• Record Type: Journal Article
• Authors: Grancharova, Alexandra; Valkova, Ivana; Hvala, Nadja; Kocijan, Juš
• Is Part Of: Automatica. Volume 149(2023)
• Publication Date: 2023-03
• Subjects: Predictive control -- Distributed control -- Interconnected systems -- Stochastic systems; Automatic control -- Periodicals; Automation -- Periodicals; 629.805
• DOI: 10.1016/j.automatica.2022.110807
• Languages: English
• ISSNs: 0005-1098

Abstract

Abstract: A suboptimal approach to distributed NMPC is proposed based on Gaussian process models of the interconnected systems dynamics and taking into account the imposed constraints. The suggested method is based on a sequential linearization of the nonlinear system dynamics and finding a suboptimal solution of the resulting Quadratic Programming (QP) problem by using distributed iterations of the dual accelerated gradient method. The main advantages of the distributed approach are that it allows the computation of the suboptimal control inputs to be done autonomously by the subsystems without the need for centralized optimization and it has a simple software implementation. The proposed method is illustrated with simulations on the simplified model of a sewer system.