By Topic

Flocking in Dynamical Networks Using Fuzzy Logic

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Hui Yu ; Inst. of Nonlinear & Complex Syst., China Three Gorges Univ., Yichang, China ; Yanjun Shen ; Jigui Jian

In this study, flocking motion control algorithm of multi-agent network with dynamical topology is studied using fuzzy logic. Cooperative control algorithm is proposed for a group of autonomous agents to achieve flocking formations following a virtual agent. The control law consists of three terms. The first term is a gradient-based one designed using fuzzy logic; The second and third ones are for velocity consensus and tracking purposes, respectively. The virtual agent is introduced to represent a group objective for tracking or motion planning purposes. Smooth graph Laplacian and Smooth attractive/repulsive potential designed using fuzzy logic are used to overcome the difficulties in stability analysis. The theoretical result is presented to indicate the achievement of flocking motion (cohesiveness, collision avoidance and velocity matching). Finally, simulation example is given to validate the theoretical analysis.

Published in:

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Date of Conference:

11-13 Dec. 2009