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ADEX Optimized Adaptive Controllers and Systems pp 83–110Cite as

Extended Strategy of Predictive Control

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

Abstract

This chapter develops the extended strategy of predictive control. This strategy is based on the evaluation at each control instant of the various sequences of input/output process variables which can be predicted within a prediction horizon. This horizon is extended to a certain control period interval, and is redefined at each control instant. To serve as examples for this evaluation, linear quadratic indices and indices with a predicted control sequence in the form of step, are considered. The capability of the extended strategy to control unstable inverse processes and its stability and robustness properties in the presence of modeling errors, are analyzed and illustrated by means of various examples. In addition, the significance of the principal design parameters, in particular, the length of the prediction horizon, is considered.

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Authors and Affiliations

  1. Departamento de Ingeniería Eléctrica, Electrónica y de Control, Escuela Técnica Superior de Ingenieros Industriales, Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain

    Juan M. Martín-Sánchez

  2. Departament de Matemàtica Aplicada III, Campus Nord, Universitat Politècnica de Catalunya, Barcelona, Spain

    José Rodellar

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  1. Juan M. Martín-Sánchez
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  2. José Rodellar
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Correspondence to Juan M. Martín-Sánchez .

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Martín-Sánchez, J.M., Rodellar, J. (2015). Extended Strategy of Predictive Control. In: ADEX Optimized Adaptive Controllers and Systems. Advances in Industrial Control. Springer, Cham. https://doi.org/10.1007/978-3-319-09794-7_4

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  • DOI: https://doi.org/10.1007/978-3-319-09794-7_4

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-09794-7

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