State Estimation of Output-coupling Complex Dynamical Networks under Noisy Transmission Channel
Yin Xiao-don · Computer Technology and Development · 2013
The state estimation problem is addressed in this paper for a output-coupling complex dynamical network under noisy transmission channel. Be different from current method of establishing the observer in accordance with state variable for node,a new scheme of estimating network state is presented based on integral control thoughts,using output for observer. The feasibility of idea is verified according to Lyapunov stability theory and give the sufficient condition of state estimation by linear matrix inequality. Respectively take the scale-free network and the small world network as two models,the Lorenz chaotic system as the node dynamics,to do some simulations. The results indicate that the method can make the estimating error of system state converged zero,further verifying the effectiveness of the method.