Flocking for multi-agent dynamic systems: algorithms and theory

By Reza Olfati-Saber. 2006

5,078 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Condensed Matter Physics, Mechanical Engineering

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Citations in the corpus

Consensus Filters for Sensor Networks and Distributed Sensor Fusion (2005, background): “Consensus problems [20], [23] for networked dynamic systems have been extensively used by many researchers as part of the solution of more complex problems including collective control of motion of swarms/flocks of mobile agents [18], ultrafast consensus in small-world networks [17], [27], state-dep”
Information consensus in multivehicle cooperative control (2007, methodology): “In [10], the control input ui is defined as”
Hybrid Control for Connectivity Preserving Flocking (2009, background): “Existing results on distributed consensus and flocking algorithms critically rely on maintaining a connected communication network among the agents, either for all time (as in [1], [2], [3]) or over sequences of bounded time intervals (as in [4], [5], [6]).”
On Consensus Algorithms for Double-Integrator Dynamics (2007, background): “[12], [13] study flocking algorithms that guarantee velocity matching, flock centering, and collision avoidance for a group of vehicles under undirected information exchange.”
Controllability of Multi-Agent Systems from a Graph-Theoretic Perspective (2009, background): “, formation control [3, 10, 13], consensus or agreement [25, 29, 30], and flocking [32, 35], share the same distributive flavor as the rendezvous problem.”
Communication constraints in the average consensus problem (2008, background): “In [31], in the context of multi-agent flocking, virtual potential functions are”
Distributed Containment Control for Multiple Autonomous Vehicles With Double-Integrator Dynamics: Algorithms and Experiments (2011, background): “Various distributed cooperative control scenarios have been investigated, including consensus [1]–[3], formation control [4]–[6], rendezvous [7], [8], and flocking [9]–[11].”
Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior (2013, methodology): “Its purpose is to induce attraction and repulsion behavior similar to the procedure suggested in [64] and [69] to help agents avoid collisions by maintaining some safe distance 0 2 x from their neighbors.”
Distributed leaderless consensus algorithms for networked Euler–Lagrange systems (2009, background): “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”
Second-Order Consensus for Multiagent Systems With Directed Topologies and Nonlinear Dynamics (2010, background): “Nevertheless, the second-order consensus problem has come to be recognized as an important topic [10], [11], [ 20 ], [22], [24], where each agent is governed by second-order dynamics.”