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在目标被动式跟踪中广泛应用的伪量测变换估计器(PLE)具有良好的误差收敛性。然而由于等价噪声和状态的相关性,该估计器的估计是有偏的。提出的强跟踪滤波器(STF)通过强制白化残差具有自适应地校正估计偏差和迅速跟踪状态变化的能力。STF已经在非线性系统时滞估计、故障诊断与容错控制方面取得了很好的效果。-Passive target tracking is widely used in the pseudo-measurement transform estimator (PLE) has a good error convergence. However, due to the equivalent noise and the relevance of state, the estimator is a biased estimate of. Raised strong tracking filter (STF) has adopted mandatory bleaching residuals adaptively estimated bias correction and rapid tracking of the status change. STF has been estimated in the time-delay nonlinear systems, fault diagnosis and fault-tolerant control has been achieved very good results.
Update : 2025-02-17 Size : 7kb Publisher : 冯絮影

基于SVR的非线性系统故障诊断,假设非线性系统在1.4s~1.6s期间发生系统参数变化故障-SVR-based fault diagnosis of nonlinear systems, assuming nonlinear systems in 1.4s ~ 1.6s failure occurred during the parameter variations
Update : 2025-02-17 Size : 55kb Publisher : 孟佳

文章对非线性系统进行了故障诊断,并做了容错控制,并用仿真实例很好滴证明了!-This paper discusses the fault diagnosis of nonlinear systems and fault-tolerant control, good drop by simulation examples prove!
Update : 2025-02-17 Size : 151kb Publisher : 爪瓦

LMI-based sensor fault diagnosis for nonlinear Lipschitz systems
Update : 2025-02-17 Size : 282kb Publisher : zemzemi

Fault Detection and Diagnosis in Nonlinear Systems: A Differential and Algebraic Viewpoint
Update : 2021-07-24 Size : 4.15mb Publisher : Aminos2021
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