Distributed multi‐vehicle coordinated control via local information exchange
By Wei Ren, Ella M. Atkins. 2007
1,510 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Control and Systems Engineering
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In Computer Networks and Communications
In Control and Systems Engineering
Citations in the corpus
- An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination (2012, neutral): “single-integrator kinematics [ 8] and double-integrator dynamics [96]–[98], respectively.”
- Distributed leaderless consensus algorithms for networked Euler–Lagrange systems (2009, methodology): “Current consensus algorithms primarily focus on vehicles with single-integrator kinematics (see Ren, Beard, and Atkins (2007), Olfati-Saber, Fax, and Murray (2007) and references therein), double-integrator dynamics (e.g. Lafferriere, Williams, Caughman, and Veerman 2005; Veerman, Lafferriere, Caugh”
- Distributed Event-Triggered Control for Multi-Agent Systems (2012, background): “Several results concerning multi-agent cooperative control have appeared in the recent literature involving agreement or consensus algorithms [20], [12],[23], formation control [5], [4], [8], [2] and distributed estimation [21],[25].”
- Consensus of multi-agent systems based on sampled-data control (2009, methodology): “Similar to the protocol in Ren and Atkins (2007), the first term of u i ( t r ), i.e. the weighted sum of the positions of agent i relative to its neighbours, aims at regulating the position of agent i to the weighted average of those of its neighbours such that all the agents reach consensus on…”
- Consensus for multi‐agent systems under double integrator dynamics with time‐varying communication delays (2012, background): “0/, which coincides with the conclusion in [13] in which the consensus of multi-agent system with no communication delay was discussed.”
- Event-Triggered Control for Consensus of Multiagent Systems With Fixed/Switching Topologies (2018, background): “Some typical results of consensus have been presented in [1]–[15] and reference therein.”
- Adaptive consensus with a virtual leader of multiple agents governed by locally Lipschitz nonlinearity (2013, background): “Some necessary and sufficient conditions are presented to ensure the consensus of second-order systems with double integrators in [10, 11], where the steady state”
- Synchronization of coupled harmonic oscillators in a dynamic proximity network (2009, background): “In the synchronization [10], second-order consensus ([11], [13]) and flocking ([14], [15], [16], [17]) algorithms, certain network connectivity assumptions play a crucial role in the stability analysis.”
- Asynchronous consensus of continuous-time multi-agent systems with intermittent measurements (2010, methodology): “For example, the protocol presented in Ren and Atkins (2007) is where k 4 0 and t 0 is an initial time.”
- Sampled-data discrete-time coordination algorithms for double-integrator dynamics under dynamic directed interaction (2010, background): “In particular, Ren and Cao (2008) studied two sampled-data discrete-time coordination algorithms corresponding to the continuous-time coordination algorithms in Ren and Atkins (2007) and Xie and Wang (2007), respectively.”
- Synchronization via Pinning Control on General Complex Networks (2013, background): “Since the left eigenvector is very important in determining the final asymptotic states [27], the following property is derived.”
- Robust consensus tracking of a class of second-order multi-agent dynamic systems (2010, neutral): “) and second-order integrator dynamics (see, [7], [9], [13], [16], [17], [20], etc.”
- Multi‐vehicle coordination for double‐integrator dynamics under fixed undirected/directed interaction in a sampled‐data setting (2010, methodology): “‡In [8, 17] (respectively, [10] in the next paragraph), i , i = 1, .”
- Experimental Validation of Consensus Algorithms for Multivehicle Cooperative Control (2008, neutral): “, [1]–[7]) and nonlinear mathematical tools (e.”