Multirate Distributed Model Predictive Control

  • Panagiotis D. Christofides
  • Jinfeng Liu
  • David Muñoz de la Peña
Part of the Advances in Industrial Control book series (AIC)


In Chap. 6, a multirate distributed model predictive control design for large-scale nonlinear uncertain systems with fast and slowly sampled states is developed. The distributed model predictive controllers are connected through a shared communication network and cooperate in an iterative fashion at time instants in which both fast and slowly sampled measurements are available, to guarantee closed-loop stability. When only local subsystem fast sampled state information is available, the distributed controllers operate in a decentralized fashion to improve closed-loop performance. In the design of the distributed controllers, bounded measurement noise, process disturbances and communication noise are also taken into account. Using a reactor–separator process example, the stability property and performance of the multirate distributed predictive control architecture is illustrated.


Time Instant Measurement Noise Lyapunov Function Versus Iterative Fashion Liquid Holdup 
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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Panagiotis D. Christofides
    • 1
  • Jinfeng Liu
    • 1
  • David Muñoz de la Peña
    • 2
  1. 1.Department of Chemical and Biomolecular EngineeringUniversity of California, Los AngelesLos AngelesUSA
  2. 2.Departamento de Ingeniería de Sistemas y AutomáticaUniversidad de SevillaSevillaSpain

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