Distributed Adaptive Consensus Tracking Control for Second-Order Nonlinear Heterogeneous Multi-Agent Systems with Input Quantization

In this paper, the problem of distributed adaptive consensus tracking control for second-order nonlinear heterogeneous multi-agent systems (MASs) with input quantization is considered. A output feedback scheme based on a K-filter developed to suppress influences unknown disturbances and quantization. contrast existing approaches, an additional design parameter introduced into controller ensure that subsystem error converges arbitrarily small residual set. Through Lyapunov stability analysis, it can be proved proposed achieve MASs. addition, all signals in closed-loop system are shown globally uniformly bounded. Finally, practical example demonstrates effectiveness method.