Finite‐time cluster synchronisation of Markovian switching complex networks with stochastic perturbations
Wenxia Cui, Jian‐an Fang, Wenbing Zhang, Xin Wang · IET Control Theory and Applications · 2013
In this study, the authors study the finite‐time cluster synchronisation problem for a class of Markovian switching complex networks with stochastic noise perturbations. By constructing the suitable stochastic Lyapunov–Krasovskii functional, using finite‐time stability theorem, inequality techniques and the properties of Weiner process, sufficient conditions are obtained to ensure finite‐time cluster synchronisation for the complex networks with or without time delays. The effects of control parameters on cluster synchronisation speed and time delays are also analysed. Since finite‐time cluster synchronisation means the optimality in convergence time and has better robustness and disturbance rejection properties, this study has important theory significance and practical application value. Finally, numerical examples are examined to illustrate the effectiveness of the analytical results.