摘要
针对一类不确定非线性系统 ,基于一种修改的李亚普诺夫函数并利用 II型模糊系统的逼近能力 ,提出了一种稳定自适应模糊控制器设计的新方案 .该方案能够避免现有的一些自适应模糊 /神经网络控制器设计中对控制增益一阶导数上界的要求 .通过理论分析 ,证明了闭环模糊控制系统是全局稳定的 。
A new scheme of an adaptive fuzzy sliding mode controller for a class of uncertain nonlinear systems is proposed in this paper. The design is based on a modified Lyapunov function and the approximation capability of the second type fuzzy systems. In addition, the approach is able to avoid the requirement of the upper bound of the first time derivative of the control gain, which is assumed to be known a priori in some of the existing adaptive fuzzy/neural network control schemes. By theoretical analysis, the closed loop fuzzy control system is proven to be globally stable in the sense that all signals involved are bounded, with tracking errors converging to zero.
出处
《自动化学报》
EI
CSCD
北大核心
2002年第1期137-142,共6页
Acta Automatica Sinica
基金
国家自然科学基金 (60 0 740 1 3 )
江苏省教育厅高校科研基金 (0 0 KJB5 1 0 0 0 6)
扬州大学科研基金资助
