Swarm aggregations using artificial potentials and sliding-mode control

By Veysel Gazi. IEEE Transactions on robotics, 2005

307 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Adaptive motion coordination: Using relative velocity feedback to track a reference velocity (2009, background): “008 encompasses several potential function based designs in the literature, such as Ögren et al. (2004), and offers further design flexibility to address complex agent dynamics such as rigid body models studied by Bai, Arcak and Wen (2007).”
A class of attractions/repulsion functions for stable swarm aggregations (2004, methodology): “In other words, it can serve as a virtual system which the vehicles need to track and the control algorithms for that can be designed using variety of techniques including sliding mode control (Gazi 2003).”
Distributed containment control with multiple stationary or dynamic leaders in fixed and switching directed networks (2012, methodology): “Although discontinuous control laws were also employed in Gazi (2005) and Ferrara and Vecchio (2007), the problems studied in Gazi (2005) and Ferrara and Vecchio (2007) are different from the problem studied in this paper.”
Distributed Intelligence: Overview of the Field and Its Application in Multi-Robot Systems (2008, background): “This form of interaction also has clear relevance for many military applications.”
Region-based shape control for a swarm of robots (2009, methodology): “To control a large group of robots, the potential field approach (Gazi, 2005; Leonard & Fiorelli, 2001; Olfati-Saber, 2006; Pereira & Hsu, 2008) is normally used.”