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A novel method utilizing state space neural network (SSNN) with adaptive filters is proposed to estimate the traffic flow parameters. The SSNN's network topology is derived from delays and stops estimation problem, so the design of SSNN reflects the relationships that exist in physical traffic systems. To improve SSNN effectiveness, the adaptive filters is proposed to train the SSNN instead of conventional...
The reliable control design problem for uncertain discrete-time systems with control delay and possible actuator failures in the input channels is discussed. A sum quadratic constraint (SQC) performance is proposed, which is a generalization of the H∞ control problem and the passivity control problem of discrete-time systems. Based on Lyapunov quadratic stability criteria and linear matrix inequality...
Understanding Internet link delay is an important key of taking full advantage of Internet resources. In this paper, we find that the link delay follows gamma distribution using maximum likelihood estimation based on data measured in a large-scale network. The correlations between the link delay and the edge load, the node degree, and the betweenness are analyzed respectively. The link delay distribution...
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