Distributed zonotopic set-membership state estimation based on optimization methods with partial projection
Document typeConference report
Rights accessOpen Access
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.
CitationWang, Y., Álamo, T., Puig, V., Cembrano, M. Distributed zonotopic set-membership state estimation based on optimization methods with partial projection. A: World Congress of the International Federation of Automatic Control. "IFAC 2017: 20th World Congress of the International Federation of Automatic Control: Toulouse, France: July 9-14, 2017: proceedings book". Toulouse: 2017, p. 4039-4044.
- IRI - Institut de Robòtica i Informàtica Industrial, CSIC-UPC - Ponències/Comunicacions de congressos 
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Ponències/Comunicacions de congressos [1.275]
- SAC - Sistemes Avançats de Control - Ponències/Comunicacions de congressos