Flocking of Multi-Agents With a Virtual Leader

By Housheng Su, Xiaofan Wang, Zongli Lin. 2009

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Citations in the corpus

An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination (2012, methodology): “If enough information of the group reference is known, such as acceleration and/or veloc ity information of the group reference, flocking with a dynamic group reference can be solved by employing a gradient-based control law [211]–[213].”
Flocking of multi‐agent dynamical systems with intermittent nonlinear velocity measurements (2012, background): “Similarly to [19,25,26], it is assumed in protocol (24) that each agent can receive the control input (acceleration) of the virtual leader all the time.”
Leader–Follower Flocking of Multiple Robotic Fish (2015, background): “Although some literatures have discussed flocking problems of multiagent systems by using virtual leaders to guide the behavior of the group [3], [7]–[10], few flocking literatures have involved real leaders.”
Ad hoc teamwork for leading a flock (2013, background): “[7, 12]) in which the controllable agents orient towards θ such that the flock slowly converges to θ?”
Robust semi‐global coordinated tracking of linear multi‐agent systems with input saturation (2015, background): “(10) Recalling from [21] the fact that for any ξi ∈ R, i = 1, 2, .”
Adaptive consensus with a virtual leader of multiple agents governed by locally Lipschitz nonlinearity (2013, background): “Consensus and flocking of multi-agent systems with a virtual leader are studied in [12] and [13], respectively.”
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].”
Robust consensus tracking of a class of second-order multi-agent dynamic systems (2010, background): “Consensus algorithms have direct applications in attitude synchronization of spacecrafts (e.g., [10]–[12]), vehicle formationcontrol(e.g.,[13]–[15]),andflocking(e.g.,[7],[16]– [ 18 ]).”
Multi‐surface sliding control for fast finite‐time leader–follower consensus with high order SISO uncertain nonlinear agents (2014, background): “Many consensus algorithms for leader–follower networks with double integrators have been proposed and studied in the literature: flocking [1,3], observer-based [13], and reference model [12,14–16].”
Distributed Coordinated Tracking With Reduced Interaction via a Variable Structure Approach (2012, background): “When the leader has a constant velocity, [15] requires accurate position and velocity measurements of the leader.”
A General Alignment Repulsion Algorithm for Flocking of Multi-Agent Systems (2011, methodology): “Recently, more breakthroughs on Reynolds’ flocking model have been achieved including a stable flocking analysis method in [8], [9], a multi-agent interaction model with global stability in [10], a theoretical and computational framework for -lattice formation in [11], an improved -lattice model in ”
Distributed Continuous-Time Convex Optimization With Time-Varying Cost Functions (2015, background): “Swarm tracking algorithms are studied in [18] and [19], where it is assumed that the leader is a neighbor of all followers and has a constant and time-varying velocity, respectively.”
New conditions for synchronization in dynamical communication networks (2011, background): “[10] investigated the synchronization of agents with cohesion, separation, and alignment rules; Cao et al.”
On H ∞ and H 2 performance regions of multi-agent systems ✩ (2011, methodology): “Flocking algorithms were investigated in Olfati-Saber (2006), Su, Wang, and Lin (2009) and Tanner, Jadbabaie, and Pappas (2007) for a group of autonomous agents.”
Decentralized finite-time sliding mode estimators and their applications in decentralized finite-time formation tracking (2010, background): “Recently, decentralized multi-vehicle cooperative control, including consensus [1] [2] [3] [4] [5] [6] [7], formation control [8] [9] [10] [11] [12], and flocking [13] [14] [15] [16], has drawn significant research attention in the control society.”