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Parallel Implementation of Hybrid MPC

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Distributed Model Predictive Control Made Easy

Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering ((ISCA,volume 69))

Abstract

In this chapter parallel implementations of hybrid MPC will be discussed. Different methods for achieving parallelism at different levels of the algorithms will be surveyed. It will be seen that there are many possible ways of obtaining parallelism for hybrid MPC, and it is by no means clear which possibilities that should be utilized to achieve the best possible performance. To answer this question is a challenge for future research.

With kind permission from Springer Science+Business Media: Distributed Decision Making and Control, Towards Parallel Implementation of Hybrid MPC—A Survey and Directions for Future Research, 417/2012, 2012, 313–338, D. Axehill and A. Hansson, figure 14.2, \(\copyright \) Springer-Verlag London Limited 2012.

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Authors and Affiliations

  1. Division of Automatic Control, Linköping University, Linköping, Sweden

    D. Axehill & A. Hansson

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  1. D. Axehill
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  2. A. Hansson
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Correspondence to D. Axehill .

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  1. Systems Engineering and Automation Dept, University of Seville, Seville, Spain

    José M. Maestre

  2. Dept of Marine & Transport Technology, Delft University of Technology, Delft, The Netherlands

    Rudy R. Negenborn

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Axehill, D., Hansson, A. (2014). Parallel Implementation of Hybrid MPC. In: Maestre, J., Negenborn, R. (eds) Distributed Model Predictive Control Made Easy. Intelligent Systems, Control and Automation: Science and Engineering, vol 69. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7006-5_23

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  • DOI: https://doi.org/10.1007/978-94-007-7006-5_23

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