D. Groß and O. Stursberg, “Distributed Predictive Control of Communicating and Constrained Systems,” ZAMM, vol. 94, no. 4, pp. 303–316, 2014.

Abstract

This paper proposes a strategy for distributed model predictive control for linear time invariant systems coupled via a common cost function and constraints. Each subsystem solves a local robust model predictive control (RMPC) problem which considers uncertain predictions received from other subsystems. In the chosen communication scheme, subsystems exchange information about optimized local trajectories and time-varying disturbances sets obtained from the local RMPC. The latter optimizes over feedback policies based on a cost function motivated by min-max approaches and can be implemented as a single tractable quadratic program. Under some assumptions, the proposed scheme remains feasible even in the presence of delays and packet loss. Simulation results for a platoon of autonomous vehicles in a leader-follower scenario illustrate the approach.

BibTex

@ARTICLE{GS14b,
 AUTHOR={D. Gross and O. Stursberg},
 TITLE={{Distributed Predictive Control of Communicating and Constrained Systems}},
 JOURNAL={ZAMM - Zeitschrift für Angewandte Mathematik und Mechanik},
 YEAR={2014},
 VOLUME={94},
 NUMBER={4},
 PAGES={303-316},
 COMMENT={noch nicht gemeldet, ISSN: , ? Normseiten}}

URL

https://www.sciencedirect.com/science/article/pii/S1474667016450445