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Multirate Distributed Model Predictive Control

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Part of the book series: Advances in Industrial Control ((AIC))

Abstract

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.

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References

  1. Chilin, D., Liu, J., Muñoz de la Peña, D., Christofides, P. D., & Davis, J. F. (2010). Detection, isolation and handling of actuator faults in distributed model predictive control systems. Journal of Process Control, 20, 1059–1075.

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Correspondence to Panagiotis D. Christofides .

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© 2011 Springer-Verlag London Limited

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Christofides, P.D., Liu, J., Muñoz de la Peña, D. (2011). Multirate Distributed Model Predictive Control. In: Networked and Distributed Predictive Control. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-0-85729-582-8_6

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  • DOI: https://doi.org/10.1007/978-0-85729-582-8_6

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-581-1

  • Online ISBN: 978-0-85729-582-8

  • eBook Packages: EngineeringEngineering (R0)

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