基于Popov超稳定性理论的模糊自适应控制器设计方法  

DESIGN OF FUZZY ADAPTIVE CONTROLLER BASED ON POPOV'S HYPERSTABILITY THEORY

作　　者：赵明洁[1] 杨莹春[1] 诸静[1] 

机构地区：[1]浙江大学电气工程学院,杭州310027

出　　处：《自动化学报》2001年第3期406-410,共5页Acta Automatica Sinica

基　　金：国家自然科学基金!( 692 74 0 1 6)资助项目

摘　　要：对一类常见的非线性系统 ,利用 Popov超稳定性理论得到一种模糊自适应控制方案 ,该方案在模型匹配的条件下能保证闭环系统的 (渐近 )稳定性 .当模型匹配条件不满足时 ,通过引入一个辅助控制量使系统仍保持稳定 .因此 。By using Popov's hyperstability theory, a fuzzy adaptive control scheme is proposed to control a class of nonlinear systems. The asymptotic stability of the closed-loop system can be assured by this control scheme under the model-match condition. When the model-match condition does not hold, an auxiliary control term is employed to keep the stability of the system. So, the proposed method is generally applicable to a class of discrete or continuous nonlinear systems.

关 键 词：非线性系统 模糊自适应控制器 Popov超稳定性理论 自适应控制 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]