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This paper revisits the problem of synchronization stability for general complex dynamical networks with coupling delays. A new delay-dependent criterion is derived by introducing a new kind of Lyapunov-Krasovskii functional and is formulated in terms of a linear matrix inequality, which can be readily solved via standard software. This new criterion based on a delay fractioning approach is proved to be much less conservative and the conservatism could be notably reduced by thinning the delay fractioning. Furthermore, the resulting criterion is further extended to the synchronization stability analysis of complex dynamical networks with time-varying structured uncertainties. Two numerical examples are provided to show the effectiveness and advantage of the proposed results. [ABSTRACT FROM AUTHOR]

Applications of sensor networks usually require events at all nodes to be synchronized. To meet such requirement, this work proposes two multi-timer model based event synchronization schemes which are fully distributed. The proposed model consists of multiple timers with each timer characterizing a sensor node whose events are triggered by timer interrupts. Each timer updates its preset values by only using values from its nearby neighbors. Event synchronization is achieved when all timers reach their preset values simultaneously. One key feature of this work is by unifying the time synchronization part and the embedded system part of the sensor networks to reach the strict event synchronization. The effectiveness of the proposed schemes is demonstrated by simulation examples and a case study in a microgrid. [ABSTRACT FROM AUTHOR]