Robust fault diagnosis for a class of nonlinear systems
Zhanshan WANG
Huaguang ZHANG
摘要：Robust fault diagnosis based on adaptive observer is studied for a class of nonlinear systems up to output injection. Adaptive fault updating laws are designed to guarantee the stability of the diagnosis system. The upper bounds of the state estimation error and fault estimation error of the adaptive observer are given respectively and the effects of parameter in the adaptive updating laws on fault estimation accuracy are also discussed. Simulation example demonstrates the effectiveness of the proposed methods and the analysis results.
机标关键词：
分类号：TP3(计算技术、计算机技术)
资助基金：国家自然科学基金(60534010)长江学者奖励计划(60521003)
论文发表日期：2006-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：7( 245-251 )
英文信息