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  • 标题:Distributed Zonotopic Set-Membership State Estimation based on Optimization Methods with Partial Projection
  • 本地全文:下载
  • 作者:Ye Wang ; Teodoro Alamo ; Vicenç Puig
  • 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:4039-4044
  • DOI:10.1016/j.ifacol.2017.08.722
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractA distributed set-membership approach is proposed for the state estimation of large-scale systems. The uncertain system states are bounded in a sequence of the distributed set-membership estimators considering unknown-but-bounded system disturbances and measurement noise. In the framework of the set-membership approach, the measurement consistency test is implemented by finding parameterized intersection zonotopes. The size of the intersection zonotope is minimized by solving an optimization problem including a sequence of linear/bilinear matrix inequalities based on the weighted 2-norm criterion of the generator matrix. Meanwhile, for the distributed set-membership estimators, the partial projection method is considered to correct the estimation of the neighbor state. On the other hand, an on-line method is also provided. Finally, the proposed distributed set-membership approach is verified in a case study based on a urban drainage network.
  • 关键词:KeywordsDistributed set-membership approachstate estimationpartial projection methodzonotopeslarge-scale systemsurban drainage networks
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