Journal Article10.1109/TSMC.2017.2687944
Second-Order Consensus for Multiagent Systems via Intermittent Sampled Data Control
Zhiyong Yu,Haijun Jiang,Cheng Hu +2 more
150
TL;DR: A novel consensus strategy is first proposed, where a periodic intermittent control strategy only with casual sampled position data is used, which not only decreases the operating time and the update rates of conditioners for every individual but also responds effectively to the case of missing velocity information.
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Abstract: In this paper, a periodic intermittent sampled data control strategy, which both reduces the load of updating rate of the controller and cuts down the working time of the controller in each sampling interval, is proposed to investigate the second-order consensus of multiagent systems. In order to reach consensus, a necessary and sufficient condition depending on the coupling gains, the communication width, the sampling period, and the spectrum of the Laplacian matrix, is established. Furthermore, the feasible region of communication width is derived for given coupling gains and structure of network. Besides, the coupling gains are also carefully designed. On the other hand, when the time delay exists in the sampling process, a time delayed protocol is proposed. A necessary and sufficient condition based on the communication width, the sampling period, the coupling gains, the time delay, and the network structure is also derived for achieving consensus. It is amazing found that the sampling period should have both lower and upper bounds for given time delay and communication width for the sake of reaching consensus. Finally, several numerical simulations are presented to demonstrate the effectiveness of the theoretical results.
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A survey on recent advances in distributed sampled-data cooperative control of multi-agent systems
TL;DR: A survey on recent advances in distributed cooperative control under a sampled-data setting, with special emphasis on the published results since 2011, and several challenging issues for future research are proposed.
372
Second-Order Consensus for Multiagent Systems via Intermittent Sampled Data Control
Zhiyong Yu,Haijun Jiang,Cheng Hu +2 more
TL;DR: A novel consensus strategy is first proposed, where a periodic intermittent control strategy only with casual sampled position data is used, which not only decreases the operating time and the update rates of conditioners for every individual but also responds effectively to the case of missing velocity information.
153
Second-Order Consensus for Multiagent Systems via Intermittent Sampled Position Data Control
TL;DR: In this article, a second-order consensus for multiagent systems with a directed communication topology is studied, where a periodic intermittent control strategy is used, which not only decreases the operating time and the update rates of conditioners for every individual but also responds effectively to the case of missing velocity information.
116
Exponential Synchronization of Neural Networks With Time-Varying Delays via Dynamic Intermittent Output Feedback Control
TL;DR: A novel controller is presented by combining intermittent control with dynamic output feedback control by using the Lyapunov-Krasovskii functional approach and the lower bound lemma for reciprocally convex technique to ensure exponential stability of the resultant closed-loop system.
115
A Stochastic Sampling Mechanism for Time-Varying Formation of Multiagent Systems With Multiple Leaders and Communication Delays
TL;DR: The time-varying formation problem for multiagent systems (MASs) with stochastic sampling and multiple leaders is studied in this paper, in which communication delays are taken into account.
115
References
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TL;DR: A distinctive feature of this work is to address consensus problems for networks with directed information flow by establishing a direct connection between the algebraic connectivity of the network and the performance of a linear consensus protocol.
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Reza Olfati-Saber,J.A. Fax,Richard M. Murray +2 more
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TL;DR: A theoretical framework for analysis of consensus algorithms for multi-agent networked systems with an emphasis on the role of directed information flow, robustness to changes in network topology due to link/node failures, time-delays, and performance guarantees is provided.
Coordination of groups of mobile autonomous agents using nearest neighbor rules
Ali Jadbabaie,Jie Lin,A.S. Morse +2 more
TL;DR: A theoretical explanation for the observed behavior of the Vicsek model, which proves to be a graphic example of a switched linear system which is stable, but for which there does not exist a common quadratic Lyapunov function.
Consensus seeking in multiagent systems under dynamically changing interaction topologies
Wei Ren,Randal W. Beard +1 more
TL;DR: It is shown that information consensus under dynamically changing interaction topologies can be achieved asymptotically if the union of the directed interaction graphs have a spanning tree frequently enough as the system evolves.
Correction to "Coordination of groups of mobile autonomous agents using nearest neighbor rules"
Ali Jadbabaie,Jie Lin,A.S. Morse +2 more
TL;DR: In a recent Physical Review Letters article, Vicsek et al. provide simulation results which demonstrate that the nearest neighbor rule they are studying can cause all agents to eventually move in the same direction despite the absence of centralized coordination and despite the fact that each agent's set of nearest neighbors change with time as the system evolves.
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