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This paper is concerned with the asymptotic synchronization problem of a general neural network using the robust adaptive control technique. It is considered a class of modified Cohen–Grossberg neural networks which is supposed to undergo unknown perturbations caused by state-independent nonlinearities and bounded mixed time-varying delays on neuron amplification and activation functions. An adaptive...
This paper presents a new approach to asymptotic synchronization problems based on regulation of connection weights for a class of Cohen–Grossberg neural networks with bounded time-varying delays. By using the adaptive technique, this approach requires no information about weights and bounds of amplification and activation functions, as well as the bounds of time-delays. As opposed to other existing...
Time-headway between two subsequent vehicles in traffic flow is determined both by traffic dynamics and individual fluctuations, showing a complex behavior. Analyzing real traffic data from multiple sections of urban freeway, we show that the time-headway distributions under different velocities are fitted well with a class of distributions which can be decomposed into an exponential distributed variable...
People tend to know whether the traffic flow state in their desired route is smooth or the unblocked degree of traffic flow state in real life. To quantitatively measure the unblocked degree of traffic flow states for urban freeway, traffic flow states identification was firstly studied with fuzzy mathematics using speed data of urban freeway in Beijing, which were obtained from video capture technique...
In this paper, traffic features of urban ring road are investigated based on empirical data of Beijing 2nd Ring Road. According to the concept of "synchronized flow" as well as the stability and synchronization among lanes around critical density, four traffic phases are identified: free flow, high-speed synchronized flow, low-speed synchronized flow and traffic jam. Moreover, spatio-temporal...
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