文章基本信息

标题：Data-Driven Predictive Control with Nonlinear Compensation for Performance Management in Virtualized Software System
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作者：Dharma Aryani ; Liuping Wang ; Tharindu Patikirikorala 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：7795-7800
DOI：10.1016/j.ifacol.2017.08.1054
语种：English
出版社：Elsevier
摘要：AbstractThis paper deals with data-driven predictive control for relative performance management in virtualized software system. The system dynamics are characterized in Hammerstein-Wiener structure to capture nonlinear and linear characteristics. The proposed control approach is the implementation of Subspace-based Predictive Control with the integration of nonlinear compensation. The compensator functions are inverse static input and output nonlinearity models from the Hammerstein-Wiener system identification. The subspace predictors are formulated from the linear model input and output of Wiener block. The experimental results from three scenarios of performance objectives show the reliability of Subspace-based Predictive Control to manage the virtualized software system.
关键词：Keywordsdata-driven controlsubspace predictive controlHammerstein-Wienernonlinear compensationvirtualized software system