Formation constrained multi-agent control

By Magnus Egerstedt, Xiaoming Hu. 2001

915 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition

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Citations in the corpus

Deep Reinforcement Learning for Swarm Systems (2018, methodology): “Our agents are modeled as unicycles, a commonly used agent model in mobile robotics (see, for example, Egerstedt and Hu [2001]), where the control parameters either manipulate the linear and angular velocities v and ω (single integrator dynamics) or the corresponding accelerations ˙ v and ˙ ω…”
Fault tolerant finite-time leader-follower formation control for autonomous surface vessels with LOS range and angle constraints (2016, background): “In Egerstedt and Hu (2001), a formation constraint function has been introduced, so that the formation is given by the kernel of the formation constraint function. However, these results are not directly applicable to the leader–follower formation problem with LOS range and angle constraints for und”
Stability analysis of social foraging swarms (2004, background): “Other work on formation control and coordination of multiagent (multi-robot) teams can be found in [32]–[36].”
Coverage control for mobile sensing networks (2002, background): “Issues include geometric patterns [15], [16], formation control [17], [ 18 ], [19], [20], [21], and con∞ict avoidance [22], [23].”
Coverage control for mobile sensing networks (2002, background): “The following treatment is inspired by the presentation in [12].”
A Survey on Aerial Swarm Robotics (2018, background): “tory for the tracking controller [25], [28], [87], [93], [94].”
Necessary and sufficient conditions for containment control of networked multi-agent systems (2012, neutral): “All rights reserved. doi:10.1016/j.automatica.2012.05.010 Murray, 2004; Ren & Beard, 2005), formation control (Egerstedt & Hu, 2001; Lin, Francis, & Maggiore, 2005; Porfiri, Roberson, & Stilwell, 2007), rendezvous (Cortes, Martinez, & Bullo, 2006; Dimarogonas & Kyriakopoulos, 2007), flocking…”
Necessary and sufficient graphical conditions for formation control of unicycles (2005, background): “in maintaining a desired formation while moving, e.g., [6], [ 7 ].”
Finite-time formation control for multi-agent systems (2009, methodology): “Traditional methods in the study of formation control generally fall into three categories, namely, the leader-following approach (Egerstedt & Hu, 2001; Egerstedt, Hu, & Stotsky, 2001; Leonard & Fiorelli, 2001; Shao, Xie, & Wang, 2007), the behaviorbased approach (Arkin, 1998; Balch & Arkin, 1998;…”
Opportunities and challenges with autonomous micro aerial vehicles (2012, background): “The problem of designing decentralized controllers for trajectory tracking for three-dimensional rigid structures is now fairly well understood (Beard et al., 2001; Egerstedt and Hu, 2001).”
Modeling and control of formations of nonholonomic mobile robots (2001, neutral): “For example, see [2]–[4].”
Abstraction and control for Groups of robots (2004, background): “Examples of such functions include positive definite convex formation functions [ 5 ], [13] and biologically inspired artificial potential functions [12].”
Trajectory tracking for non-holonomic cars: A linear approach to controlled leader-follower formation (2010, methodology): “In the virtual structure approach [7], [18], each robot is treated as an element of a rigid virtual structure, each of them having a local control that makes possible the structure to”
Finite-Time Formation Control of Under-Actuated Ships Using Nonlinear Sliding Mode Control (2018, background): “IN RECENT years, control of multiagent systems has attracted great attention from many scientific communities, and typical topics include flocking problem [1], [2], formation problem [3], [4], consensus problem [5]–[10], connectivity preserving problem [11], rendezvous problem [12], cooperative outp”