Anisotropy-based Approach of Sensors Network Filtration: Nonzero Mean Disurbance Case

In this paper, the estimation problem for the sensors network in anisotropy-based theory is considered. The non-centered external disturbance belongs to sequence of random vectors with bounded anisotropy of extended vector. Sensors of the network are assumed to be non-ideal with given probability of correct operation. The communication scheme for networks is described by directed graph. The performance criterion is considered as anisotropic norm for input-to-estimation error of the combined system. The estimation problem is reduced to convex optimisation problem.