基于状态观测器的方法研究了一类具有非线性扰动的多重状态时滞系统的鲁棒故障检测问题。
A robust RBF ANN-observer-based fault detection scheme is proposed for a class of multiple state (time-delay) systems with nonlinear perturbations.
针对仿射非线性系统，采用自适应模糊系统进行非线性补偿，提出了一种基于自适应模糊状态观测器的鲁棒故障检测方法。
A robust fault detection scheme based on adaptive-fuzzy state observers for affine nonlinear systems is presented, and adaptive-fuzzy systems is adopted to repair nonlinear parts.
采用动态神经元网络状态观测器的故障检测和诊断方法对非线性时变热力系统状态进行估计。
A nonlinear time dependent thermodynamic system status is analyzed with a fault detection and diagnostic method being carried out by a dynamic neuron network status observer.
提出了一种测量时滞系统基于降维状态观测器的故障诊断方法。
A fault diagnoser was designed which could on-line diagnose faults by constructing a reduced-order state observer of the augmented system.
提出了一种测量时滞系统基于降维状态观测器的故障诊断方法。
A fault diagnoser was designed which could on-line diagnose faults by constructing a reduced-order state observer of the augmented system.
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