Swarm Formation Control Utilizing Elliptical Surfaces and Limiting Functions

By Laura E. Barnes, Mary-Anne Fields, Kimon P. Valavanis. 2009

141 citations recorded by the source corpus.

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

How researchers see this paper

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

In Aerospace Engineering

1. Peng Shi
2. Ying Tan
3. Farzaneh Abdollahi
4. Hamed Rezaee
5. Zhongyang Zheng
6. Shihua Li

In Computer Networks and Communications

1. Peng Shi
2. Xiangyu Wang
3. Shihua Li
4. Ying Tan
5. Farzaneh Abdollahi
6. Hamed Rezaee
7. Zhongyang Zheng

In Computer Vision and Pattern Recognition

1. Ying Tan
2. Farzaneh Abdollahi
3. Hamed Rezaee
4. Zhongyang Zheng

Citations in the corpus

• A Novel Robust Decentralized Adaptive Fuzzy Control for Swarm Formation of Multiagent Systems (2012, methodology): “, [1], [2], [4], [8], and [9]), limited dynamic or kinematic models as massless agents, unicycles, bicycles, or four-wheeled robots are considered.”
• A Decentralized Cooperative Control Scheme With Obstacle Avoidance for a Team of Mobile Robots (2014, methodology): “In [19], repulsive forces produced by obstacles were used for obstacle avoidance.”
• Distributed Finite-Time Containment Control for Double-Integrator Multiagent Systems (2014, background): “As a result, the containment control is meaningful for many practical problems, such as UAV [30], autonomous underwater vehicle [31] formation control, and robot swarms [32].”
• Research Advance in Swarm Robotics (2013, methodology): “In these applications, the group behaviors cannot be explicitly defined at group level and the individual rules are adopted [115].”