Learn More
In this letter, a novel nonlinear neural network (NN) predictive control strategy based on the new tent-map chaotic particle swarm optimization (TCPSO) is presented. The TCPSO incorporating tent-map chaos, which can avoid trapping to local minima and improve the searching performance of standard particle swarm optimization (PSO), is applied to perform the(More)
Different from most of recent studies or research on encryption algorithms based on chaotic system, the paper schemes out multiple chaotic system as an encryption approach not only after compressing video streams but also during the processing of compression frame by frame. The so-called multiple chaotic system actually consists of three chaotic or(More)
A new complex dynamical network based on multi-local-world (MLW) model is first introduced. Then, control of this kind of complex dynamical network by applying local feedback injections to a tiny fraction of local worlds in the whole network is investigated. Stability conditions are derived for several different dynamical network models including(More)
The consensus problem in a multi-agent system with general nonlinear coupling is investigated in this paper. It is demonstrated that, under suitable conditions on communication, all agents approach a prescribed value if a small fraction of them are controlled by simple feedback control. The stability analysis is based on a blend of graph-theoretic and(More)
A linear model of recurrent neural networks, called the Elman networks, is combined with the simple nonlinear modulo (mod) operation on its linear activated function so as to generate chaos purposely. Conditions on the weight matrix are obtained, under which the generated chaos satisfies the mathematical definition of chaos in the sense of T.Y. Li and J.A.(More)