Adaptive Output Feedback Control for Uncertain Nonlinear Strictly-Feedback Systems Using Fuzzy Logic Systems

摘要：

A nonlinear adaptive observer is designed based on function approximation for a class of unknown strictfeedback systems with unmeasured states. The nonlinearities are not restricted to output nonlinearities. To guarantee the bounded ness of the parameter estimation errors, we use the projection algorithm in the adaptive laws. Based on this observer, observer backstepping method is used to design controller. Nonlinear damping terms are used to counteract the destabilizing effect of the parameter estimation errors and observation estimation errors. Some restrictive assumptions such as the requirement of nonlinearities satisfying matching conditions and a known bound on the approximation observation errors are relaxed. The overall adaptive scheme is shown to be guaranteed semiglobal uniform ultimate boundedness.

作者: Yunfeng Zheng Hongbo Sun Guojun Peng

作者单位: Navigation College Dalian Maritime University Dalian, China 116026 Navigation College Jimei University Xiamen, China 361021

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 402-407

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）