In this paper, a distributed average tracking problem is studied for Lipschitz-type nonlinear dynamical systems. The objective is to design distributed average tracking algorithms for locally interactive agents to track the average of multiple reference signals. Here, in both the agents’ and the reference signals’ dynamics, there is a nonlinear term satisfying the Lipschitz-type condition. Thre...

This paper proposes Asynchronous Triggered Gradient Tracking , i.e., a distributed optimization algorithm to solve consensus over networks with asynchronous communication. As building block, we devise the continuous-time counterpart of recently proposed (discrete-time) gradient tracking called Continuous . By using Lyapunov approach, prove exponential stability equilibrium corresponding agents’...

In this paper, we consider the unknown trajectory tracking problem for stable distributed parameter systems. The main assumptions are that signals generated by an finite-dimensional exosystem is a marginally system and error available measurement. order to achieve perfect regulation, frequency estimator scheme proposed estimate parameters, control law designed based on geometric output regulati...

The problem of tracking multiple targets and managing their identities in sensor networks is considered. Each sensor is assumed to have its own surveillance region and an ability to communicate with its neighboring sensors.We propose a scalable, distributed, multitarget-tracking and identity-management algorithm that can track an unknown number of targets and manage their identities efficiently...