Non-fragile Exponential Consensus of Nonlinear Multi-agent Systems via Sampled-data Control

In this article, non-fragile exponential consensus problem is investigated for nonlinear multi-agent systems (MASs) through the use of sampled-data controllers. The sampled-data system is translated to a continuous system with time-varying delay through input delay approach via control input. With the introduction of a sampled-data approach, the information is sent only to the network at each sampling instant and is inevitably subject to a transmission delay. By using the tools from algebraic graph theory and Lyapunov-Krasovskii functional (LKF) technique, it is proved that the concerned non-fragile consensus problem is solvable if the resultant consensus error system can be exponentially stabilized. Numerical example is given to illustrate the merits of the results obtained. Copyright (C) 2020 The Authors.