Fully distributed adaptive consensus control for a class of nonlinear systems of directed topology
Transactions of the Institute of Measurement and Control
Published online on October 07, 2016
Abstract
In this paper, we investigate the problem of consensus tracking of a desired trajectory for a class of nonlinear systems consisting of multiple nonlinear subsystems with intrinsic mismatched unknown parameters. The subsystems are allowed to have non-identical dynamics with similar structures and the same yet arbitrary system order. Suppose that the communications among the subsystems can be represented by a directed graph. A fully distributed adaptive control approach based on a backstepping technique that is different from most of the existing results is proposed, which does not use global information as a parameter of the topology. It is proved that boundedness of all closed-loop signals and asymptotic consensus tracking for all the subsystems’ outputs are ensured. In simulation studies, a numerical example is illustrated to show the effectiveness of the control scheme. Moreover, the design strategy is successfully applied to solve a formation control problem for multiple underactuated ships.