Information consensus in multivehicle cooperative control

By Wei Ren, R. Beard, Ella M. Atkins. 2007

3,149 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

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In Computer Networks and Communications

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Citations in the corpus

On the Convergence of Decentralized Gradient Descent (2013, background): “These properties are important for applications where data are collected by distributed agents, communication to a fusion center is expensive or impossible, and/or agents tend to keep their raw data private; such applications arise in wireless sensor networks [16, 24, 27, 38], multivehicle and multi”
An Exact Quantized Decentralized Gradient Descent Algorithm (2018, background): “D ISTRIBUTED optimization of a sum of convex functions has a variety of applications in different areas including decentralized control systems [2], wireless systems [3], sensor networks [4], networked multiagent systems [5], multirobot networks [6], and large scale machine learning [7].”
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks (2018, neutral): “[8] W.”
Prescribed-Time Control and Its Latest Developments (2022, background): “Meanwhile, the Laplace matrix L has only one zero eigenvalue and all other eigenvalues with positive real parts if and only if the corresponding directed graph G contains a spanning tree [103].”
Adaptive cooperative tracking control of higher-order nonlinear systems with unknown dynamics (2012, background): “Numerous results on these two topics have been published in the past few years and readers are referred to survey papers (Olfati-Saber, Fax, & Murray, 2007; Ren et al., 2007; Ren, Beard, & Atkins, 2005) and references therein.”
Distributed containment control for Lagrangian networks with parametric uncertainties under a directed graph (2012, methodology): “We refer the readers to Olfati-Saber, Fax, and Murray (2007) and Ren, Beard, and Atkins (2007) and references therein for more details.”
Consensus of multi-agent systems with intrinsic nonlinear dynamics and sampled-data information (2011, background): “Recently, the consensus problem of multi-agent systems has received a great deal of attention from different scientific communities, due to its applications in various areas such as satellite formation flying, cooperative unmanned air vehicles, and air traffic control [1], [2].”
Leader‐following control for multiple inertial agents (2011, background): “For a variety of consensus algorithms and convergence results, we refer the readers to the recent surveys [1, 2] and the references therein.”
Distributed finite-time tracking control for multi-agent systems: An observer-based approach (2013, background): “Over the past few years, distributed control of multi-agent systems has attracted much attention from various scientific communities, due to its higher robustness, less communication cost, greater efficiency, and so on [1].”
Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization (2018, background): “istributes information to the agents. Decentralize consensus optimization ﬁnds applications in various areas including wireless sensor networks [1], [2], multi-vehicle and multi-robot control systems [3], [4], smart grid implementations, distributed adaptation and estimation [5], [6], distributed st”
Experimental Validation of Consensus Algorithms for Multivehicle Cooperative Control (2008, background): “rithms (3) and (11) to asynchronous communication and time delays is shown in theory in [13] (see, also, [41] for other references).”
Decentralized event-triggered consensus with general linear dynamics (2014, background): “It is well understood that each agent should be able to determine its own control laws independently and based only on local information (Ji & Egerstedt, 2007;Moreau, 2004; Ren et al., 2007).”
Consensus in multi-agent systems: a review (2021, methodology): “Compared to the previous models, the transfer function of these systems, in the Laplace domain, will be of higher orders (Ren et al. 2006, 2007b).”
Optimal Linear-Consensus Algorithms: An LQR Perspective (2010, background): “For detailed discussions about linearconsensus algorithms, refer to [ 14 ] and [15].”
Optimal Design for Synchronization of Cooperative Systems: State Feedback, Observer and Output Feedback (2011, background): “Consensus (or leaderless consensus) problem [8] requires all nodes converge to a common value, which is not prescribed.”