Neuro-adaptive consensus strategy for a class of nonlinear time-delay multi-agent systems with an unmeasurable high-dimensional leader - Yue, Dongdong; Cao, Jinde; Li, Qi; Shi, Xinli (IET control theory & applications, 2019)
Keywords: adaptive control; consensus approach; control system synthesis; delay systems; directed communication topology; distributed control; distributed cooperative consensus tracking problem; distributed robust radial basis function neural network controller; leader agent; local observer; Lyapunov methods; Lyapunov–Krasovskii functional method; matrix algebra; multi‐agent systems; multi‐robot systems; M‐matrix; neurocontrollers; neuro‐adaptive consensus strategy; nonlinear control systems; nonlinear time‐delay multiagent systems; observers; radial basis function networks; Research Article; robust control; time‐varying systems; tracking errors; uncertain multiagent systems; uncertain systems; unknown time‐varying delays; unmeasurable high‐dimensional leader; time-varying systems; M-matrix; multi-agent systems; delay systems; unmeasurable high-dimensional leader; multi-robot systems; uncertain multiagent systems; consensus approach; nonlinear time-delay multiagent systems; leader agent; neurocontrollers; radial basis function networks; robust control; Lyapunov–Krasovskii functional method; distributed control; distributed cooperative consensus tracking problem; uncertain systems; distributed robust radial basis function neural network controller; local observer; tracking errors; control system synthesis; adaptive control; unknown time-varying delays; matrix algebra; nonlinear control systems; directed communication topology; neuro-adaptive consensus strategy; observers; Lyapunov methods