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  • 标题:H ∞ observer design for a class of nonlinear singular stochastic systems
  • 本地全文:下载
  • 作者:Asma Barbata ; Michel Zasadzinski ; Harouna Souley Ali
  • 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:3885-3892
  • DOI:10.1016/j.ifacol.2017.08.360
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper is about theH∞observer design for a class of nonlinear singular stochastic systems. The system is first transformed such that the observation error can be written in a regular form and the augmented system is admissible. The use of Sylvester-like equations on the error dynamics permits to parameterize all the filter matrices via a single gain matrix. Then an affine change of coordinate is done on the control inputs to transform the problem into a singular robust stochastic nonlinear problem which is solved using a Lyapunov approach. Finally the mean square exponential stability (MSES) of the error’s system and theH∞disturbance attenuation are ensured by the observer designed via the resolution of a LMI which permits to get the gain matrix used to construct the filter matrices.
  • 关键词:KeywordsMean square exponential stabilitystochastic algebraic differential equationnonlinear singular stochastic systemsmean square exponential observerH∞observer.
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