Chemical Reactor Estimation Based on Sensors Network with Dropouts

In this paper, the estimation problem for the chemical reactor is considered. The model of measurement contains random variables with Bernoulli distribution, which are associated with dropouts. The anisotropy level for extended vector of input sequence is bounded by given positive value a. The input-to-estimation error system is described in terms of time-varying system with multiplicative noises. The boundedness of anisotropic norm for input-to-estimation error system is reduced to convex optimisation problem.