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  • 标题:Hierarchical Model Predictive/Sliding Mode Control of Nonlinear Constrained Uncertain Systems
  • 本地全文:下载
  • 作者:Gian Paolo Incremona ; Antonella Ferrara ; Lalo Magni
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:23
  • 页码:102-109
  • DOI:10.1016/j.ifacol.2015.11.268
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents an overview of some hierarchical control schemes composed by a high level Model Predictive Control (MPC) and a low level Sliding Mode Control (SMC). The latter is realized by using the so-called Integral Sliding Mode (ISM) control approach and is meant to reject the matched disturbances affecting the plant, thus providing a system with reduced uncertainty for the MPC design. Both continuous and discrete-time solutions are discussed in the paper. Moreover, assuming the presence of a network in the control loop, a networked version of the control scheme is presented. It is a model-based event-triggered MPC/ISM control scheme aimed at minimizing the packets transmission. The input-to-state (practical) stability properties of the proposed approaches are also addressed in the paper.
  • 关键词:KeywordsPredictive controlsliding mode controlrobust controluncertain dynamic systemsnetworks
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