具有给定成本预算的多智能体网络动态输出反馈保证成本同步
Dynamic Output Feedback Guaranteed-Cost Synchronization for Multiagent Networks with Given Cost Budgets
AI总结:
本文针对一般高阶线性多智能体网络的分布式保证成本同步问题,提出动态输出反馈同步协议,实现能耗与同步调节性能的权衡设计,并通过数值例子验证理论结果。
摘要:
本文针对一般高阶线性多智能体网络的分布式保证成本同步问题,现有研究通常需要所有邻近智能体的状态信息且无法预先给出成本预算。针对无领导者和有领导者交互拓扑结构,本文首先提出具有保证成本约束的动态输出反馈同步协议,能够实现能耗与同步调节性能之间的权衡设计。然后,根据交互拓扑结构的不同特征,分别提出无领导者和有领导者保证成本同步分析和设计准则,并提出算法以处理非线性项的影响。特别地,对于无领导者情况,给出了一个与协议状态和给定成本预算无关的同步函数显式表达式。最后,通过数值例子验证了理论结果。
英文摘要:
The current paper addresses the distributed guaranteed-cost synchronization problems for general high-order linear multiagent networks. Existing works on the guaranteed-cost synchronization usually require all state information of neighboring agents and cannot give the cost budget previously. For both leaderless and leader-following interaction topologies, the current paper firstly proposes a dynamic output feedback synchronization protocol with guaranteed-cost constraints, which can realize the tradeoff design between the energy consumption and the synchronization regulation performance with the given cost budget. Then, according to different structure features of interaction topologies, leaderless and leader-following guaranteed-cost synchronization analysis and design criteria are presented, respectively, and an algorithm is proposed to deal with the impacts of nonlinear terms by using both synchronization analysis and design criteria. Especially, an explicit expression of the synchronization function is shown for leaderless cases, which is independent of protocol states and the given cost budget. Finally, numerical examples are presented to demonstrate theoretical results.
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