具有连续监督控制功能的稳定自适应模糊控制方法

On Improving Performance of Controlled System with Continuous Fuzzy Monitoring

基于李雅普诺夫稳定性理论与动态逆方法，将滑模控制与连续监督控制策略应用于自适应模糊控制系统中，能显著增强模糊自适应控制系统的稳定性，使系统在一定条件下达到全局渐近稳定。作者对该方法进行了理论分析，并提供了一个仿真算例。

The shortcoming of noncontinuous fuzzy monitoring control [1] is that the controlled system is already divergent when effectively corrected according to feedback. Our theoretical analysis is as usual based on Lyapunov stability theory and inverse dynamic method. Like L.X.Wang [1] , we apply sliding mode control to our problem. Different from Wang [1] , we apply continuous monitoring instead of noncontinuous monitoring to adaptive fuzzy control systems. After a lengthy derivation, we obtain eq.(14) as the core equation for designing our controller. Our entire theoretical analysis can guarantee that the controlled system be globally and asymptotically stable. Simulation results, shown in Figs.1,2 and 3, indicate that our analysis is promising. Our entire theoretical analysis can guarantee that the controlled system be globally and asymptotically stable. Simulation results, shown in Figs.1,2 and 3, indicate that our analysis is promising.