  This technical note studies the distributed average tracking problem for
multiple time-varying signals with general linear dynamics, whose reference
inputs are nonzero and not available to any agent in the network. In
distributed fashion, a pair of continuous algorithms with, respectively, static
and adaptive coupling strengths are designed. Based on the boundary layer
concept, the proposed continuous algorithm with static coupling strengths can
asymptotically track the average of the multiple reference signals without
chattering phenomenon. Furthermore, for the case of algorithms with adaptive
coupling strengths, the average tracking errors are uniformly ultimately
bounded and exponentially converge to a small adjustable bounded set. Finally,
a simulation example is presented to show the validity of the theoretical
results.
