NN-Based Bipartite Hysteretic Quantized Control for Stochastic MASs with Unknown Nonlinearity

This paper mainly studies the bipartite consensus control of second-order stochastic nonlinear multi-agent systems with sensor faults and Prandtl-Ishlinskii hysteresis. The objective of this issue is to design a control protocol with quantitatively adaptive to deal with unknown nonlinearity in systems. A novel distributed control technique that does not need forecasting the lowest limits of the asymmetric hysteresis quantizer and unknown hysteresis has been provided using the adaptive compensation technique. In addition, this technique has been presented to address the issue caused by sensor faults, and the stochastic Lyapunov stability theorem is used to verify the systems are called to achieve semiglobal output bipartite bounded consensus in probability. Finally, simulation results are raised to demonstrate the effectiveness of our proposed scheme.