摘要
充分利用被控对象与控制行为的知识,为一类非线性系统设计一个组合型自适应模糊控制器。它的主要特点是设计一个自适应补偿器来减小建模误差和参数估计误差对系统性能的影响。在不要求最优逼近误差平方可积和上界已知的条件下,证明闭环系统全局渐近稳定,所有信号有界且跟踪误差收敛到零。
Through making full use of the knowledge about control systems and control action, a combinational adaptive fuzzy controller is designded for a class of nonliear systems. Its main characteristic is that it can attenuate the effect of modeling error and parameter estimate error for the systems through a adaptive compensator. We proved the closed systems global asymptotical stable, not needing the error upper bound and the error square integral, all the signals are bounded and the tracing error convergence.
出处
《模糊系统与数学》
CSCD
北大核心
2006年第6期61-65,共5页
Fuzzy Systems and Mathematics
关键词
模糊控制
自适应控制
组合型控制
自适应补偿器
Fuzzy Control
Adaptive Control
Combinational Control
Adaptive Compensetor
