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The group consensus problem of multi-agent systems is studied in this paper. The dynamics of each agent is modeled by nonlinear dynamics and external disturbances. To achieve group consensus, an adaptive control scheme is designed. Some conditions in terms of linear matrix inequalities(LMIs) are proposed to achieve group consensus of the systems. A numerical example is given to illustrate the effectiveness...
This paper investigates the leader-following consensus problem of multi-agent systems where the leader is static and the controlling effect of each follower depends on its own state. The control protocols are proposed for two cases: i) for network with switching topologies and undirected information flow; ii) for network with directed information flow and communication time-delays. With the aid of...
Context information is taken into account when evaluating agents' trust to reflect the dynamic feature of multi-agent systems in open uncertain environment more accurately. A context-aware computational trust model based on Bayesian networks is proposed. Unlike many existing intuitive solutions, both the reputation estimation and unfair recommender filtering use statistical approaches. Risk is explicitly...
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