Publisher DOI: 10.1109/ACC.2016.7525472
Title: Distributed model predictive control of constrained spatially-invariant interconnected systems in input-output form
Language: English
Authors: Liu, Qin 
Abbas, Hossam Seddik 
Mohammadpour, Javad 
Wollnack, Simon 
Werner, Herbert 
Issue Date: 28-Jul-2016
Source: Proceedings of the American Control Conference (2016-July): 7525472, 3600-3605 (2016-07-28)
Abstract (english): 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.
Conference: 2016 American Control Conference, ACC 2016 
URI: http://hdl.handle.net/11420/5352
ISBN: 978-1-4673-8682-1
978-1-4673-8683-8
Institute: Regelungstechnik E-14 
Type: InProceedings (Aufsatz / Paper einer Konferenz etc.)
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