Asymptotic bounded consensus tracking of multi-agent systems with a bounded-acceleration target via sampled-data control

摘要

This paper is concerned with the asymptotic bounded consensus tracking problems of single-integrator multi-agent systems with an asymptotically-unbounded-velocity and bounded-acceleration target via sampled-data control. An improved sampled-data consensus tracking protocol is proposed to guarantee that single-integrator multi-agent systems track an asymptotically-unbounded-velocity and bounded-acceleration target available to only a portion of agents. The augmented matrix method and the eigenvalue analysis method are employed for deriving the necessary and sufficient conditions given in the form of the allowable scopes of the constant feedback gain and the sampling period. Comparison simulations numerically illustrate the effectiveness of the proposed protocol. (C) 2015 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.