State estimation for continuous-time directed complex dynamical network with random packet dropout

The state estimation problem is addressed in this paper for continuous-time directed complex dynamical network with random packet dropout which takes place in the transmission channel. Different from the most existing research on random packet dropout, the mathematical expectation of the Bernoulli random variable which describes the random packet dropout is unknown. By applying the Lyapunov stability theory and stochastic analysis method, we obtain a sufficient condition for state estimation in terms of linear matrix inequalities (LMIs). It is demonstrated by simulation that the proposed scheme is effective.