Article ID Journal Published Year Pages File Type
6864783 Neurocomputing 2018 37 Pages PDF
Abstract
In this paper, the problem of event-triggered output feedback synchronization control for complex dynamical networks (CDN) is studied. Based on a distributed state observer, a novel event-triggered mechanism is firstly introduced to design the output feedback synchronization controller, and by applying a useful graph theoretical result, the asymptotic convergence of the synchronization errors is then guaranteed. Moreover, it is proved that the designed event-triggered synchronization method is also valid for the CDNs with time-varying coupling weights. In particular, the proposed method is an extension of the existing state feedback event-triggered synchronization results. Finally, the circuit realizations for the new event-triggered mechanism and control approach are given, and the effectiveness of the proposed scheme is illustrated through the simulation results.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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