Fixed-time distributed cooperative control for pure feedback multi-agent systems with quantized input saturation and output constraints
Yanhua Huang, Jiyang Dai, Ying Jin · 2023
This paper investigates the distributed fixed-time cooperative control problem of nonlinear pure feedback multi-agent systems with quantized input saturation and output constraints. The mean value theorem is used to deal with the problem of non-affine structure in nonlinear pure-feedback systems. Meanwhile, the radial basis function neural networks are employed to approximate the unknown smooth functions produced in the adaptive control design process. Furthermore, A barrier Lyapunov function is used to solve the output constraints, and the control input saturation signals will be quantized by a hysteresis quantizer. It is shown that the fixed-time consensus control protocol designed in this paper ensures that all signals in the closed-loop system are semiglobally uniform and ultimately bounded in a fixed time. Finally, the simulation results demonstrate the effectiveness of the proposed control strategy.