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基于解析模型的非线性系统鲁棒故障诊断方法综述 预览 被引量:17

Robust Fault Diagnosis of Nonlinear System Based on Analytical Models:a Survey
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摘要 研究非线性系统的鲁棒故障诊断具有重要意义.本文着重讨论了两类方法:非线性未知输入观测器方法和基于自适应学习的方法,并简要概述了其它一些方法.还探讨了非线性系统鲁棒故障诊断的应用实例,并指出了其中的若干关键问题以及今后的研究方向. Studies on robust fault diagnosis of nonlinear systems based on analytical models are of great significance. This paper mainly concerns two kinds of approaches: nonlinear unknown input observer scheme and the method based on adaptive learning, and summarizes some other approaches. In addition, we also discuss some applications of robust fault diagnosis of nonlinear systems, and point out some key issues and the future research direction.
作者 李令莱 周东华 LI Ling lai, ZHOU Dong hua (Department of Automation, Tsinghua University, Beijing 100084, China)
出处 《信息与控制》 CSCD 北大核心 2004年第4期 451-456,462,共7页 Information and Control
基金 国家自然科学基金,国家重点基础研究发展计划(973计划)
关键词 故障诊断 非线性系统 鲁棒性 观测器 fault diagnosis nonlinear systems robustness observer
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