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| 1 | Finite-Time Consensus of a Leader-Following Multi-Agent Network with Non-Identical Nonlinear Dynamics and Time-Varying Topologies显示文摘In this paper, the finite-time consensus of a leader-following multi-agent network with non-identical nonlinear dynamics and time-varying topologies is investigated. All the agents, especially the leaders, have non-identical and nonlinear dynamics. According to the algebraic graph theory, Lyapunov stability theory and Kronecker product, a control strategy strategy is established to guarantee the finite-time consensus of multi-agent network with multiple leaders. Furthermore, several numerical simulations illustrate the effectiveness and feasibility of the proposed method. | YU Le TU Lilan HUANG Yifan | 2016 | Wuhan University Journal of Natural Sciences2016，21，5： | 4 |
| 2 | Adaptive H_∞ Synchronization for General Delayed Complex Networks with External Disturbance显示文摘The global adaptive H∞ synchronization is intensively investigated for the general delayed complex dynamical networks. The network under consideration contains unknown but bounded nonlinear coupling functions, time-varying delay, and external disturbance. Based on the Lyapunov stability theory, linear matrix inequality (LMI) optimization technique and adaptive control, several global adaptive H∞ synchronization schemes are established, which guarantee robust asymptotical synchronization of noise-perturbed network as well as a prescribed robust H∞ performance level. Finally, numerical simulations have shown the feasibility and effectiveness of the proposed techniques. | TU Lilan XIONG Aiming | 2013 | Wuhan University Journal of Natural Sciences2013，18，1： | 1 |
| 3 | Adaptive cluster synchro-nization for a complex dynamical network with delays andstochastic perturbation 显示文摘 | Yu Le Tu Lilan Liu Hongfang | 2013 | The European Physical Jour-nal B2013，86，4： | 1 |
| 4 | Delay-Dependent H_∞ Synchronization for General Delayed Complex Networks with Stochastic Disturbances显示文摘In this paper, the H∞ synchronization is intensively investigated for general delayed complex dynamical networks. The network under consideration contains unknown but bounded nonlinear coupling functions, time-varying delay, external disturbances, and It-type stochastic disturbances, which is a zero-mean real scalar Wiener process. Based on the stochastic Lyapunov stability theory, It 's differential rule, and linear matrix inequality(LMI) optimization technique, some delay-dependent H∞ synchronization schemes are established, which guarantee robust stochastically mean square asymptotically synchronization for drive network and noise-perturbed response network as well as achieving a prescribed stochastic robust H∞ performance level. Finally, detailed and satisfactory numerical results have validated the feasibility and the correctness of the proposed techniques. | TU Lilan YIN Shuifang | 2013 | Wuhan University Journal of Natural Sciences2013，18，6： | 0 |
| 5 | Synchronization-Based Topology Identification of Uncertain Stochastic Delay Complex Networks显示文摘In this paper, topology identification of general weighted complex network with time-varying delay and stochastic perturbation,which is a zero-mean real scalar Wiener process, is investigated. Based on the adaptive-feedback control method, the stochastic Lyapunov stability theory and the ito formula, some synchronous criteria are established, which guarantee the asymptotical mean square synchronization of the drive network and the response network with stochastic disturbances, as well as identify the topological structure of the uncertain general drive complex network. Finally, numerical simulations are presented to verify the correctness and effectiveness of the proposed scheme. | LIU Hongfang TU Lilan YU Le | 2013 | Wuhan University Journal of Natural Sciences2013，18，4： | 0 |
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