Distributed Adaptive Control for Nonlinear Heterogeneous Multi-agent Systems with Different Dimensions and Time Delay

A distributed neural network adaptive feedback control system is designed for a class of nonlinear multi-agent systems with time delay and nonidentical dimensions. In contrast to previous works on heterogeneous the same dimension, particular features are proposed each agent different dimensions, similar parameters defined, which will be combined controller. Second, novel based similarity using linear matrix inequality (LMI) Lyapunov stability theory, establishing that all signals in closed loop eventually ultimately bounded. The consistency tracking error steadily decreases field small number zeros. Finally, simulated examples delays utilized test effectiveness technique.