Work

Distributed Nonlinear Model Predictive Control by Sequential Linearization and Accelerated Gradient Method

Year: 2016

Type: article

Abstract: A 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.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2016.07.408

Authors: Alexandra Grancharova, Tor A. Johansen, Valeria Petrova

Institutions: University of Chemical Technology and Metallurgy, Norwegian University of Science and Technology

Language: English

Topic: Advanced Control Systems Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W2526670070

FWCI: 0.555

Cites: 15

Cited by: 5

Related to: 10