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Hybrid Predictive Control: Mono-objective and Multi-objective Design

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Hybrid Predictive Control for Dynamic Transport Problems

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

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Abstract

The design of hybrid predictive control (HPC), which is based on both piecewise affine (PWA) models and hybrid fuzzy models, is described. For solving the nonlinear optimization problems resulting from these controllers, evolutionary algorithms are proposed, thereby demonstrating a reduction of computation effort in comparison with classical methods. Moreover, this chapter presents a new approach for dealing with HPC formulations using evolutionary multi-objective optimization. Different criteria are proposed to obtain an optimal control action from the Pareto front.

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Authors and Affiliations

  1. Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands

    Alfredo A. Núñez

  2. Electrical Engineering Department, Universidad de Chile, Santiago, Chile

    Doris A. Sáez

  3. Civil Engineering Department, Universidad de Chile, Santiago, Chile

    Cristián E. Cortés

Authors
  1. Alfredo A. Núñez
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  2. Doris A. Sáez
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  3. Cristián E. Cortés
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Correspondence to Alfredo A. Núñez .

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Núñez, A.A., Sáez, D.A., Cortés, C.E. (2013). Hybrid Predictive Control: Mono-objective and Multi-objective Design. In: Hybrid Predictive Control for Dynamic Transport Problems. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-4351-2_2

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  • DOI: https://doi.org/10.1007/978-1-4471-4351-2_2

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4350-5

  • Online ISBN: 978-1-4471-4351-2

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