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Type-2 Fuzzy Logic pp 81–110Cite as

Model Predictive Control Using Type-2 Takagi-Sugeno Fuzzy Systems

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Abstract

Model Predictive Control (MPC) is one of the most researched synthesis approaches which, based on a model of a process, computes the best control strategy according to a set of predefined goals over a future time horizon.

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Author information

Authors and Affiliations

  1. Department of Electronics, Telecommunications and Informatics, University of Aveiro, Aveiro, Portugal

    Rómulo Antão

  2. Department of Electronics, Telecommunications and Informatics, University of Aveiro, Aveiro, Portugal

    Alexandre Mota & Rui Escadas Martins

  3. Institute of Engineering, Polytechnic of Porto, Porto, Portugal

    José Tenreiro Machado

Authors
  1. Rómulo Antão
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  2. Alexandre Mota
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  3. Rui Escadas Martins
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  4. José Tenreiro Machado
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Corresponding author

Correspondence to Rómulo Antão .

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© 2017 Springer Nature Singapore Pte Ltd. and Higher Education Press

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Antão, R., Mota, A., Escadas Martins, R., Tenreiro Machado, J. (2017). Model Predictive Control Using Type-2 Takagi-Sugeno Fuzzy Systems. In: Type-2 Fuzzy Logic. Nonlinear Physical Science. Springer, Singapore. https://doi.org/10.1007/978-981-10-4633-9_5

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