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Data-based stability analysis of a class of nonlinear discrete-time systems

  • Zhuo Wang
  • , Derong Liu*
  • *此作品的通讯作者
  • University of Illinois at Chicago

科研成果: 期刊稿件文章同行评审

摘要

Nowadays, with modern sensor technologies, the inputs, outputs and states of the system can be accurately measured. Based on this fact, analyzing the properties of the system, which has unknown mathematical model, directly by using the measured data, has become feasible. In this paper, some data-based methods are proposed for state stability analysis of a class of nonlinear discrete-time systems. We also discuss the problem of finding the domain of attraction of the equilibrium point, using these data-based methods.

源语言英语
页(从-至)36-44
页数9
期刊Information Sciences
235
DOI
出版状态已出版 - 20 6月 2013
已对外发布

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