文章基本信息

标题：Explicit Model Predictive Control via Nonlinear Piecewise Approximations * * This work was sponsored within the project CRYOGREEN, financed by the French National Research Agency (ANR).
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作者：Van-Vuong Trinh ; Van-Vuong Trinh ; Mazen Alamir 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：18
页码：259-264
DOI：10.1016/j.ifacol.2016.10.173
语种：English
出版社：Elsevier
摘要：Abstract: In this paper, a novel identification methodology is proposed to capture general multivariate nonlinear relationships, with focus on the bounded-error approximation of model predictive control for constrained (non)linear systems. The formulation of the identification problem takes, at each iteration, the form of a constrained linear (or quadratic) optimization problem that is mathematically feasible as well as numerically tractable. The efficiency of the proposed method for the derivation of low-complexity explicit model predictive controllers is demonstrated via the constrained control of a thermodynamic power plant.
关键词：KeywordsSystem IdentificationNonlinear ApproximationExplicit Model Predictive Control