Robust consensus of discrete-time multi-agent systems with nonlinear disturbances

We study a robust consensus problem of discrete-time multi-agent systems with nonlinear disturbances. By a suitable linear transform, the systems are changed to other systems. Furthermore, we derive some conditions in form of linear matrix inequalities (LMIs) guaranteeing the robust consensus by using Lyapunov function methods. Finally, a simulation result is worked out to demonstrate the effectiveness of the theoretical results.