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There has been a constant barrage of worms over the internet during the recent past. To develop appropriate tools for thwarting quick spread of worms, researchers are trying to understand the behavior of the worm propagation with the aid of epidemiological models. In this study, an improved SIR epidemic model with dynamic input-output and time delay property is proposed. Whereas in the SIR model once...
In this paper the bifurcation and chaos behavior of a fluid flow model of Internet congestion control system including TCP and AQM is investigated. These bifurcation and chaotic behavior may cause heavy oscillation of average queue length and induce network instability. An impulsive control method was proposed for controlling bifurcations and chaos in the Internet congestion control system. Simulation...
Network congestion control system can loss stabilities caused by bifurcations and chaos. A hybrid control method is presented for controlling bifurcations and chaos to stabilize network congestion control system in this paper. Simulations confirmed the theoretical results.
In this paper, a systematic procedure is presented to analyze and design a stable fuzzy controller for a class of nonlinear systems. Based on the Popov-Lyapunovpsilas method, the flight model is described with the expertpsilas linguistic information involved. The linguistic information for the flight model is represented as fuzzy sets. First, we transform a fuzzy control system into a flight control...
Landslide is a serious global geological disaster that threatens the human life, ecological environment and engineering construction, it causes enormous casualties and property losses. In order to prevent such disaster, it is necessary to monitor and predict the slope stability. In this paper, we present the intelligent system based on the close-range photogrammetry for monitoring and evaluating the...
The problem of stochastic stability and l2 - linfin control for discrete stochastic fuzzy systems with time-delays is considered in this paper. Sufficient conditions are presented in the format of linear matrix inequality. A desired state feedback controller can be designed by solving a set of linear matrix inequalities. At last, the numerical example is given to demonstrate the effectiveness of the...
In this paper, an augmented Lyapunov functional, which takes an integral term of state vector into account, is introduced. Owing to the functional, an improved delay-dependent asymptotic stability criterion for delay neural networks is derived in term of LMIs. Moreover, the result is also extended to rate-independent stability criteria for unknown time-varying delay. Finally, numerical examples are...
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