SWITCHING TOPOLOGY ESTIMATION OF COMPLEX DYNAMICAL NETWORKS IN FINITE TIME

摘要

This note proposes a method to estimate the unknown switching topology of complex dynamical networks in finite time on the premise of persistence of excitation (PE). The estimation results are independent of estimator we choose. When PE condition can't be satisfied, an adaptive predictor is applied to estimate topology matrix. A sufficient condition ensuring the asymptotic convergence of the estimation error towards zero is given. Finally, the validity and feasibility of our methods are illustrated through a numerical example.