Article
Distributed Zonotopic Set-Membership State Estimation based on Optimization Methods with Partial Projection
Author/s | Wang, Ye
Alamo, Teodoro Puig, Vicenç Cembrano, Gabriela |
Department | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Publication Date | 2017-07 |
Deposit Date | 2019-05-31 |
Published in |
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Abstract | A 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 ... A 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. |
Project ID. | DPI2013-48243
DPI2014-58104-R DPI2016-76493 |
Citation | Wang, Y., Álamo, T., Puig, V. y Cembrano, G. (2017). Distributed Zonotopic Set-Membership State Estimation based on Optimization Methods with Partial Projection. IFAC PapersOnLine, 50 (1), 4039-4044. |
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