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Multi-agent systems with compasses: Cooperative and cooperative-antagonistic networks

机译:带有罗盘的多主体系统:协作和协作对等网络

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In this paper, we first study agreement protocols for coupled continuous-time nonlinear dynamics over cooperative multi-agent networks. To guarantee convergence for such systems, it is common in the literature to assume that the vector field of each agent is pointing inside the convex hull formed by the states of the agent and its neighbors given the relative states between each agent and its neighbors are available. This convexity condition is relaxed in this paper, as we show that it is enough that the vector field belongs to a strict tangent cone based on a local supporting hyperrectangle. The new condition has the natural physical interpretation of adding a compass for each agent in addition to the available local relative states, as each agent needs only to know in which orthant each of its neighbor is. It is proven that the multi-agent system achieves exponential state agreement if and only if the time-varying interaction graph is uniformly jointly quasi-strongly connected. Cooperative-antagonistic multi-agent networks are also considered. For these systems, the (cooperative-antagonistic) relation has a negative sign for arcs corresponding to antagonistic interactions. State agreement may not be achieved for cooperative-antagonistic multi-agent systems. Instead it is shown that asymptotic modulus agreement is achieved if the time-varying interaction graph is uniformly jointly strongly connected.
机译:在本文中,我们首先研究协作多智能体网络上耦合连续时间非线性动力学的协议协议。为了保证此类系统的收敛性,在文献中通常假定每个代理及其邻居之间的相对状态均可用,从而假定每个代理的矢量场都指向由代理及其邻居的状态形成的凸包内部。 。本文证明了这种凸性条件是宽松的,因为我们证明,基于局部支持的超矩形,矢量场属于严格切线锥就足够了。新条件具有自然的物理解释,即除了可用的本地相对状态外,还为每个代理添加指南针,因为每个代理仅需要知道其每个邻居在哪个矫正器上即可。事实证明,当且仅当时变交互图被统一联合准强连接时,多智能体系统才能达到指数状态协议。还考虑了合作对抗多主体网络。对于这些系统,(合作对立)关系对于与拮抗作用相对应的弧具有负号。对于协作对立的多智能体系统,可能无法达成国家协议。取而代之的是,如果时变相互作用图一致地共同强连接,则可以实现渐近模量一致性。

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