哈尔滨工程大学学报2009，Vol.30Issue(9)：1082-1086,5.DOI:10.3969/j.issn.1006-7043.2009.09.022
非线性动态系统的模糊神经网络自适应H_∞鲁棒控制
H_∞ robust adaptive control of a fuzzy neural network based nonlinear dynamic system
摘要
Abstract
To deal with the inherit instability of non-linear dynamic systems, a direct adaptive control method for an robust fuzzy neural network based nonlinear dynamic system controller was developed. The controller is composed of an control element for the nonlinear dynamic system and a direct adaptive control element. On-line learning of the fuzzy neural network is used to regulate errors caused by modeling uncertainties in order to guarantee system stability and performance. The stability of the designed system was proven in this paper, and a simulation demonstrated the effectiveness of the proposed method.关键词
模糊神经网络/H_∞控制/非线性动态系统/鲁棒性Key words
fuzzy neural network/ H_∞ control/ nonlinear dynamic system/ robustness分类
信息技术与安全科学引用本文复制引用
陆瑶,张杰,冯英俊..非线性动态系统的模糊神经网络自适应H_∞鲁棒控制[J].哈尔滨工程大学学报,2009,30(9):1082-1086,5.基金项目
国家统计局资助项目(2008LY021). （2008LY021）
