Physics

Nonlinear system

Tracking error

Compensation (psychology)

Multi-agent system

Agronomy

Biology

Algorithm

Filter (signal processing)

Psychoanalysis

Residual

Artificial intelligence

Psychology

Controller (irrigation)

Control (management)

Observer (physics)

Computer science

Quantum mechanics

Computer vision

Control theory (sociology)

Artificial neural network

IEEE Transactions on Cybernetics

This article is concerned with the dynamic event-triggered-based adaptive output-feedback tracking control problem of nonlinear multiagent systems with time-varying input delay. By utilizing the approximation capability of neural network (NN), a low-gain nonlinear observer is first established to estimate the immeasurable states. To mitigate the effect of time-varying input delay, an auxiliary system with communication information is designed to generate the compensation signals. Then, a distributed adaptive composite NN dynamic surface control (DSC) strategy is proposed to acquire the satisfactory tracking accuracy, where the filter errors are compensated by the introduced serial-parallel estimation model. Moreover, an effective switching dynamic event-triggered mechanism is developed to determine the communication instants and reduce the update frequency of the controller. It is proven that the consensus tracking error converges to a residual set of the origin. Finally, simulation results are presented to demonstrate the effectiveness of the proposed composite NN DSC scheme.

Observer-Based Dynamic Event-Triggered Control for Multiagent Systems With Time-Varying Delay