非线性纯反馈时滞系统的自适应模糊跟踪控制

针对一类不确定非线性纯反馈时滞系统的自适应模糊跟踪控制问题,本文采用模糊逻辑系统来逼近系统中未知的非线性函数,利用自适应方法和Backstepping方法构造出一种自适应模糊控制器,并给出了非线性纯反馈时滞系统跟踪控制问题可解的充分条件.仿真结果表明,所设计的自适应模糊控制器,保证闭环系统的所有变量有界,并确保系统输出有效跟踪给定的参考信号,跟踪误差收敛到原点的一个充分小的邻域之内,同时其他闭环信号保持有界.该控制方法可以有效地减少系统在线计算负担.

Adaptive Fuzzy Tracking Control for Uncertain Nonlinear Pure-Feedback Systems with Time-Varying Delays

This paper addresses the problem of adaptive fuzzy control for a class of uncertain nonlinear pure-feedback systems with time delays. Fuzzy logic systems are used to approximate the unknown nonlin- ear functions, and then adaptive technique and back stepping method are utilized to construct adaptive fuzz- y controller. In addition, the work in the paper provides a new sufficient condition for the tracking control of nonlinear pure-feedback systems with time delays. Simulation results show that the proposed adaptive controller guarantees that all the variables in the closed-loop system are bounded while the system＇s output follows the given reference signal well. The proposed controller will reduce the system online calculation burden.