文章基本信息

标题：Distributed Zonotopic Set-Membership State Estimation based on Optimization Methods with Partial Projection
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作者：Ye Wang ; Teodoro Alamo ; Vicenç Puig 等
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