Distributed average tracking for multiple nonlinear time-varying signals with output measurements

This paper studies the distributed average tracking problem for multiple time-varying signals with nonlinear dynamics. Based only on relative output measurements, a pair of continuous algorithms with, respectively, static and adaptive coupling strengths are designed and utilized. From the concept of boundary layer approach, the proposed continuous algorithm with static coupling strengths can asymptotically obtain the average value of the multiple reference signals without chattering phenomenon. Finally, a simulation example is presented to show the validity of the theoretical results.