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The consensus algorithm is proposed to solve the bounded consensus tracking problems of leader-following multi-agent systems under directed networks, where the control input of an agent can only use the information measured at the sampling instants from its neighbors or the virtual leader. Based on the delay decomposition approach, the augmented matrix method and the frequency domain analysis, the...
We study different network utility maximization algorithms that optimize the medium access probabilities at the MAC layer jointly with the end-to-end source rates at the transport layer. The algorithms work in a multihop random access network in a distributed fashion to achieve different types of fairness for the users. Although the algorithms are proven to be mathematically stable, they never have...
A memetic algorithm MCLPSO based on the comprehensive learning PSO (CLPSO) is presented in this study. In MCLPSO, a chaotic local search operator is used and a Simulated Annealing (SA) based local search strategy is developed by combining the cognition-only PSO model with SA. The memetic scheme can enable the stagnant particles which cannot be improved by the comprehensive learning strategy to escape...
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