摘要
由于基于线性模型、阶与时滞已知、噪声统计规律已知和其他一些严格的数学限制条件（称为“理想情况”）而设计的自适应控制系统在未建模动态特性和复杂外扰下往往缺乏鲁棒性，因此８０年代以来关于鲁棒自适应控制的研究受到了广泛关注．本文分析了传统自适应控制系统缺乏鲁棒性的原因，综述了自适应控制系统鲁棒性研究的方法和成果，包括算法修正、鲁棒优化和非线性自适应控制系统设计．
At the beginning of the last decade,adaptive control systems designed for ideal system models,i.e.,linear system models under the assumption that relative degree,timedelay,noise property and other mathematical conditions are known,were strongly attracted by many researchers due to 'lack of robustness' in the presence of unmodeled dynamics and external disturbances,and then special research attention is given to aspects of the robust version of traditional adaptive control systems.The purpose of the present paper is to review the research methods and results on this field after analyzing the reason of 'lack of robustness',including algorithm modification,robust optimization and nonlinear adaptive control system design.
出处
《信息与控制》
CSCD
北大核心
1998年第3期197-205,共9页
Information and Control
关键词
自适应控制
鲁棒性
对偶性
数学模型
adaptive control,robustness,dual effect,H∞ optimization,GPC
