Several consensus protocols with memory of multi-agent systems

Financial risk management has focused on banking, accounting, and finance, and applied all kinds types of models to avoid those specific forms of risk. Risk management may be dealt with using the model of multi-agent systems. In this paper, we consider single-integrator kinematics and double-order-integrator dynamics consensus protocols. These consensus protocols with memory are presented by introducing the last state information (such as position, velocity) of the multi-agent. The numerical results show that these protocols have higher convergence speed.