Distributed model predictive control of constrained spatially-invariant interconnected systems in input-output form

Volume
2016
Start Page
3600
End Page
3605
Article Number
7525472
Citation
Proceedings of the American Control Conference (2016-July): 7525472, 3600-3605 (2016-07-28)
Contribution to Conference
American Control Conference, ACC 2016  
Publisher DOI
10.1109/ACC.2016.7525472
Scopus ID
2-s2.0-84992111115
This paper proposes a non-iterative, Lyapunov-based distributed model predictive control (MPC) design for invariant spatially-interconnected systems comprised of a network of subsystems with coupled dynamcis and subject to local state and/or input constraints. Considered here is the distributed MPC design for linear systems in input-output form with fixed-structure local state-feedback-like control law. The proposed distributed MPC design approach ensures asymptotic stability and recursive feasibility, and its online implementation can be formulated as solving a linear matrix inequality (LMI) problem defined at the subsystem level. Simulation results using a heat equation in one-dimensional space demonstrate the merits and effectiveness of the proposed approach.
DDC Class
600: Technik
620: Ingenieurwissenschaften