摘要
研究一类单输入单输出非严格反馈的非线性系统自适应模糊控制问题.基于系统函数单调递增的性质,提出了变量分离方法,并利用自适应模糊控制技术和Backstepping设计自适应模糊控制器.自适应控制器确保闭环系统的所有信号半全局有界,同时所有状态收敛到原点的一个充分小的邻域内,仿真例子验证了该方法的有效性.
This paper addresses the problem of adaptive fuzzy control for a class of single- input- single-output non- strict- feedback nonlinear systems. Based on the monotonously increasing property of the bounding functions in the system,the variable separation technique is developed and then adaptive technique and backstepping method are utilized to construct adaptive fuzzy controller. The proposed adaptive controller guarantees that all the signals in the closed- loop system are semi- bounded,and the state variables will eventuality converge to a neighborhood of the origin. A real example is used to show the effectiveness of the proposed approach.
出处
《渤海大学学报（自然科学版）》
CAS
2014年第4期342-349,共8页
Journal of Bohai University:Natural Science Edition
基金
国家自然科学基金资助项目(No:61074008
No:61174033)
