Event-triggered adaptive consensus for fuzzy output-constrained multi-agent systems with observers

Abstract The problem of distributed adaptive event-triggered consensus tracking control is investigated for a class of output-constrained uncertain nonlinear multi-agent systems (MASs). With the help of fuzzy logic systems (FLSs), the unavailable states are estimated by constructing a fuzzy state observer. In order to mitigate communication burden, the adaptive event-triggered controller is presented by employing the backstepping approach and dynamics surface control (DSC) technique, which guarantees the boundedness of all system signals. In view of the possible poor transient performance resulting from discontinuous control signal under the event-triggered mechanism, the barrier Lyapunov function combining exponential function is introduced to obtain better transient performance of systems by solving an output constraint problem, where the convergence rates and convergence bounds of tracking errors are precisely guaranteed. Simulation results demonstrate the effectiveness of the presented method.