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  • 标题:Reduced-order Interval-observer Design for Dynamic Systems with Time-invariant Uncertainty
  • 本地全文:下载
  • 作者:Masoud Pourasghar ; Vicenç Puig ; Carlos Ocampo-Martinez
  • 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:6271-6276
  • DOI:10.1016/j.ifacol.2017.08.858
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper addresses the design of reduced-order interval-observers for dynamic systems with time-invariant uncertainty. Because of the limitations of using the set-based approach to preserve the time dependency of parameter uncertainty and the wrapping effect to deal with interval-observers, the trajectory-based interval-observer approach is used with an appropriate observer gain. But, there could be some difficulties to satisfy the conditions for selecting a suitable gain to guarantee the positivity of the resulting observer. Then, a reduced-order observer is designed to reduce the computational complexity and to increase the degree of freedom when selecting the observer gain. Finally, a simulation example is employed for illustrating and analyzing the effectiveness of the proposed approach.
  • 关键词:KeywordsUncertain dynamic systeminterval observerset-based observerreduced-order observer
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