Adaptive Formation Control and Target Tracking in a Class of Multi-Agent Systems

Abstract

In this article a direct adaptive fuzzy control methodology is developed to handle formation control and target tracking problems in a class of multi-agent systems with nonlinear and uncertain dynamics. The proposed adaptive method guarantees stability and achievement of the desired tracking and formation tasks. The effectiveness of the algorithm is verified with numerical simulations.