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  • 标题:Control of Nonlinear Systems Subject to Amplitude Bounded Disturbances Using a N-fuzzy Strategy ⁎
  • 本地全文:下载
  • 作者:Michael Klug ; Eugenio B. Castelan ; Daniel Coutinho
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:25
  • 页码:299-304
  • DOI:10.1016/j.ifacol.2018.11.122
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe dynamic output feedback stabilization problem of nonlinear discrete-time systems subject to amplitude bounded disturbances by means of Takagi-Sugeno (T-S) N-fuzzy models is considered in this paper. The linear matrix inequality (LMI) approach is applied to design a dynamic output feedback fuzzy controller such that the system trajectories are ultimately bounded, that is, the state trajectory starting in a set of admissible initial conditions is guaranteed to converge in finite time to a nearby region of the state space origin. Furthermore, the proposed approach enables to handle with nonlinearities that are not function of the measured outputs but are sector bounded. A numerical example is considered to illustrate the effectiveness of the developed technique.
  • 关键词:Keywordsfuzzy T-S modelslocal stabilityamplitude bounded disturbances
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