Affordable Access

Publisher Website

Distributed model predictive control of constrained nonlinear systems with communication delays

Authors
Journal
Systems & Control Letters
0167-6911
Publisher
Elsevier
Volume
62
Issue
10
Identifiers
DOI: 10.1016/j.sysconle.2013.05.012
Keywords
  • Distributed Control
  • Nonlinear Systems
  • Continuous-Time Systems
  • Model Predictive Control (Mpc)
  • Time Delays
  • Large-Scale Systems
Disciplines
  • Communication
  • Design

Abstract

Abstract Distributed model predictive control (MPC), having been proven to be efficient for large-scale control systems, is essentially enabled by communication network connections among involved subsystems (agents). This paper studies the distributed MPC problem for a class of continuous-time decoupled nonlinear systems subject to communication delays. By using a robustness constraint and designing a waiting mechanism, a delay-involved distributed MPC scheme is proposed. Furthermore, the iterative feasibility and stability properties are analyzed. It is shown that, if the communication delays are bounded by an upper bound, and the cooperation weights and the sampling period are designed appropriately, the overall system state converges to the equilibrium point. The theoretical results are verified by a simulation study.

There are no comments yet on this publication. Be the first to share your thoughts.