Multi-objective Model Predictive Control

Hirotaka Nakayama (), Yeboon Yun and Masakazu Shirakawa
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Hirotaka Nakayama: Konan University

A chapter in Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, 2010, pp 277-287 from Springer

Abstract: Abstract Model predictive (or sequential approximate) optimization methods find an optimal solution in parallel with predicting the function forms in mathematical models when those forms are not known explicitly in terms of design variables. In this paper, under a dynamic environment with multiple objectives, we propose a model predictive optimization method using computational intelligence in particular support vector regression and the satisficing trade-off method. The effectiveness of the proposed method will be shown along a numerical example.

Keywords: Model predictive control; Multiobjective optimization; Sequential approximate optimization; Support vector regression; Aspiration level approach (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-642-04045-0_24

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DOI: 10.1007/978-3-642-04045-0_24

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