Finite-Time Command Filtered Control for Multiagent Systems With Unknown Control Gains and Quantized Inputs
针对具有未知控制增益和滞后量化输入的多智能体系统，提出一种改进的指令滤波控制策略，结合估计项和补偿项，并利用模糊逻辑系统处理未知项，实现有限时间一致性跟踪，保证闭环信号有界。
The problem of finite-time consensus tracking is investigated for multiagent systems with unknown control gain functions and hysteresis quantized inputs. Existing control methods utilizing command filtered technique have certain limitations for unknown control gains. Motived by this, the study is concerned with establishing a novel control strategy based on a modified command filtered technique with estimation-like terms and key compensation terms. Furthermore, fuzzy logic systems participate in command filter design while processing unknown items. It is theoretically testified that the proposed scheme not only guarantees the finite-time consensus tracking performance but also remains that all the resulting closed-loop signals are bounded. Finally, the simulations on numerical and practical examples prove the validity of the control scheme.