Work

Distributed Model Predictive Control with suboptimality and stability guarantees

Year: 2010

Type: conference-paper

Abstract: Theory for Distributed Model Predictive Control (DMPC) is developed based on dual decomposition of the convex optimization problem that is solved in each time sample. The process to be controlled is an interconnection of several subsystems, where each subsystem corresponds to a node in a graph. We present a stopping criterion for the DMPC scheme that can be locally verified by each node and that guarantees closed loop suboptimality above a pre-specified level and asymptotic stability of the interconnected system.

Source: IEEE Conference on Decision and Control (CDC)

DOI: 10.1109/cdc.2010.5717026

Authors: Pontus Giselsson, Anders Rantzer

Institution: Lund University

Language: English

Topic: Advanced Control Systems Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W2149802487

FWCI: 24.71

Cites: 20

Cited by: 122

Related to: 10