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We propose an iterative learning control (ILC) tracking strategy to solve the tracking problem of multi-agent systems with nonlinear dynamics and time-varying communication delays. The distributed tracking strategy, in which each tracking agent only utilises its own and neighbours’ information, enables the tracking agents successfully track a maneuvering target in a finite time interval although with presence of time delays. Compared with the existing related work, the quantitative relationship between the boundary of tracking errors and the estimation of time delays is derived. Furthermore, in many practical control problems, identical initialisation condition may not be satisfied, which is called initial-shift problem. Hence, a forgetting factor is introduced to deal with that problem. It is proved that the presented results are effective via conducting numerical examples. [ABSTRACT FROM AUTHOR]

This paper addresses the tracking problem of a class of multi-agent systems under uncertain communication environments which has been modelled by a finite number of constant Laplacian matrices together with their corresponding scheduling functions. Sliding mode control method is applied to solve this nonlinear tracking problem under a time-varying topology. The controller of each tracking agent has been designed by using only its own and neighbours’ information. Sufficient conditions for the existence of a sliding mode control tracking strategy have been provided by the solvability of linear matrix inequalities. At the end of this work, numerical simulations are employed to demonstrate the effectiveness of the proposed sliding mode control tracking strategy. [ABSTRACT FROM AUTHOR]

This paper investigates the relay tracking problem for networked nonlinear multi-agent systems with communication delays. By setting up monitoring agents in a certain area, the object of this paper is to track the targets which cross over the monitoring area through the relay cooperative tracking strategy. Based on an improved data-driven control method, a data-driven relay tracking control strategy is proposed. It is shown that under the presented relay tracking strategy, all pursued agents asymptotically achieve tracking the target agents. Moreover, with the introduced delay compensation mechanism in the control strategy, the communication delays are compensated actively. Finally, some simulations are provided to illustrate the performance of the proposed strategies. [ABSTRACT FROM AUTHOR]