The design of an observer-based neural adaptive controller for a class of nonlinear systems with input-constrained

摘要：

This paper focuses on the adaptive control of a class of nonlinear systems with unknown saturation constraint imposed on the control input. By constructing neural network ,a observer-based approach is develped using nonlinear output feedback techniques.The simulation example is given to illustrate the effectiveness of this method.

关键词： Saturation constraint Adaptive control Observers Neural networks

作者: Fang Min Yang Xueyan Fang Hui Bai Xiaoli

作者单位: The School of Control Science and Engineering , University of Jinan, Shandong Province,China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-4

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）