Abstract:
The communication graph design problem for a linear discrete time-varying sensor network system is considered. The design goal is to minimize the upper bound for the anisotropic norm of the input-to-estimation error system. The sensors are supposed to be objects with dropouts of given probability values. Exogenous disturbances are considered to be sequences of random vectors with bounded anisotropy of sequence fragments. The tuning of the adjacency matrix with a fixed estimation model is reduced to a convex optimization problem.
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