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  • 标题:Local Stabilization of Nonlinear Discrete-Time Systems Subject to Amplitude Bounded Disturbances * * This work has been supported by CAPES and CNPq, Brazil
  • 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:2017
  • 卷号:50
  • 期号:1
  • 页码:8472-8477
  • DOI:10.1016/j.ifacol.2017.08.818
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe stabilization problem of nonlinear discrete-time systems subject to amplitude bounded disturbances by means of Takagi-Sugeno (T-S) fuzzy models is considered in this paper. The linear matrix inequality (LMI) approach is applied to design a state 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. Numerical examples are considered to illustrate the approach demonstrating the effectiveness of the proposed technique for the control synthesis of nonlinear discrete-time systems.
  • 关键词:Keywordsnonlinear systemsfuzzy T-S modelslocal stabilityamplitude bounded disturbancesstate feedback
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