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  • 标题:An Optimal Fuzzy High-Gain Observer for an Uncertain Nonlinear System
  • 作者:Sung-Hoon Yu ; Yong-Tae Kim ; Chang-Woo Park
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2013
  • 卷号:10
  • 期号:4
  • 页码:188
  • DOI:10.5772/56060
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:This paper proposes an alternative optimal fuzzy high-gain observer design scheme. The structure of the proposed observer is represented by the Takagi-Sugeno fuzzy model and has the integrator of the estimation error. It improves the performance of a high-gain observer and makes the observer robust against noisy measurements, uncertainties and parameter perturbation. The proposed observer adopts the H ∞ control technique and an adaptive projection algorithm. This technique results in a reduction of both the fuzzy approximation error and time-varying disturbances. In addition, the proposed observer accomplishes a fast transient response and parameter convergence. Some simulation results are given to present the validity of the theoretical derivations and the performance of the proposed observer.
  • 关键词:Optimal Performance; Takagi-Sugeno Fuzzy Model; H∞ Control; Adaptive Projection
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