一类复杂系统的稳定模糊滑模自适应控制

对一类复杂过程对象给出了模糊控制系统的设计方法，用标准模糊系统对过程对象的不确定部分进行估计，得到一个基本控制器，根据该基本控制器的输出误差设计参数的学习律；当控制器的输出误差收敛到一定范围时，再由基于动态规则库的自适应模糊控制系统补偿建模误差，结果表明，控制算法能保证系统的闭环稳定性和跟踪误差收敛性。

Stable Adaptive Fuzzy Sliding Mode Control for a Class of Complex Systems

An adaptive fuzzy sliding mode control scheme was proposed for a class of complex systems. Normal fuzzy logic systems are employed to approximate the unknown functions with a modified backpro pagation learning method. Adaptive fuzzy logic systems based on dynamical rule bases are applied to compensate for the modeling errors. A simulation example of the control methods was given. The results show that the closed loop systems stability with the converging tracking error to a neighborhood of zero are guaranteed.