Publication
Distributed zonotopic set-membership state estimation based on optimization methods with partial projection
Conference Article
Conference
IFAC World Congress (IFAC)
Edition
20th
Pages
4039-4044
Doc link
https://doi.org/10.1016/j.ifacol.2017.08.722
File
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 system disturbances and measurement noise. In the framework of the set-membership approach, the measurement consistency test is implemented by nding 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 veried in a case study based on a urban drainage network.
Categories
observability.
Scientific reference
Y. Wang, T. Álamo, V. Puig and G. Cembrano. Distributed zonotopic set-membership state estimation based on optimization methods with partial projection, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 4039-4044, Elsevier.
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