本文提出了一种基于模糊观测器的飞机舵面故障检测与重构控制策略。
A fault accommodation approach based on fuzzy observer for nonlinear systems is presented in this paper.
研究了T S模糊系统中存在未知输入、多重故障时的诊断问题，提出了基于动态模糊观测器的诊断方法。
The fuzzy dynamic observer diagnosis method is proposed for the T-S fuzzy system with unknown inputs and multiple faults.
由于模糊观测器的模糊控制规则主观性较强，因此设计自学习模糊速度观测器，并给出了详细的算法和流程。
Since the fuzzy observer has a strong subjectivity in fuzzy control rules, self-learning fuzzy velocity observer is produced to present detailed algorithm process.
用矩阵不等式给出了模糊反馈增益和模糊观测器增益的存在的充分条件，并将这些条件转化为线性矩阵不等式（LMI）的可解性。
Sufficient conditions for the existence of fuzzy state feedback gain and fuzzy observer gain are derived through the numerical solution of a set of coupled linear matrix inequalities(LMI).
同时给出了一种模糊状态观测器的设计方法并讨论了稳定性。
In addition, a kind of design method on fuzzy state observer is also given and its stability is discussed.
针对一般非线性系统的故障检测，从工程应用的角度提出了一种基于自适应模糊输出观测器的非线性系统鲁棒故障检测方法。
Aiming at the fault detection and its actual application in general nonlinear systems, a robust fault detection scheme based on adaptive -fuzzy output observer is proposed.
电动汽车直接转矩模糊控制系统中，定子磁链观测器采用电压模型时，系统低速性能变差。
In a direct torque fuzzy control system of electric vehicle, when the voltage model is used as stator flux observer, the system's low speed performance becomes poor.
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.
针对一类非线性系统，把模糊tS模型和自适应模糊逻辑系统两类模糊逻辑方式结合起来，提出了一种基于观测器的控制方案。
Combining both kinds of fuzzy logic forms including fuzzy t s model and adaptive fuzzy logic systems, this paper presents an observer based control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统两种模糊逻辑方式结合起来，提出了一种基于观测器的跟踪控制方案。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an observer-based tracking control scheme for a class of nonlinear systems.
本文对一类离散非线性互联时滞系统，给出了模糊分散状态反馈和基于观测器的分散输出反馈模糊控制方法。
Developed in this paper are fuzzy decentralized state feedback and observer-based decentralized output feedback controllers for a class of discrete nonlinear interconnected systems with time-delay.
提出了一种新的基于观测器的T S模糊系统稳定性分析方法。
A new way to analyze stability issues of T-S fuzzy system based on observers is investigated.
针对一类非线性系统的稳定控制问题，提出了带有模糊状态观测器滑模模糊控制器的设计方法。
This paper addresses the design of the sliding-mode fuzzy controller with fuzzy observer considering a class of forth-order nonlinear systems.
针对一类范数有界不确定性t - S模糊广义系统，研究了其在满足不确定性的基于观测器的无源控制器的设计问题。
As for a class of T-S fuzzy descriptor systems with norm-bounded uncertainties, the design problem of observer-based passive fuzzy controller was studied.
仿真结果表明了模糊神经网络观测器可实现对定子电阻的精确检测，从而提高直接转矩控制系统的低速性能。
Simulation results show that this fuzzy-neural network estimator can precisely measure the value of resistance and improve the low-speed performances of DTC system efficiently.
首先，论文完成了一大类非线性离散系统模糊控制器和观测器的设计。
First, based on fuzzy dynamic state space model, the fuzzy controller and observer are designed for the nonlinear discrete systems.
建立了伺服感应电动机DTC控制模型，其中速度观测器采用文中提出的自学习模糊速度观测器。
Then, a DTC induction motor servo control simulation model is established, which adopts the self-learning fuzzy in velocity observer.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统两种模糊逻辑方式结合起来，提出了一种基于观测器的跟踪控制方案。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an adaptive control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊t S模型和自适应模糊逻辑系统两类模糊逻辑方式结合起来，提出了一种基于观测器的控制方案。
Combining fuzzy Takagi-Sugeno (T-S) model with adaptive fuzzy logic systems, we present a tracking control scheme for a class of complex nonlinear systems.
针对一类非线性系统，把模糊t S模型和自适应模糊逻辑系统两类模糊逻辑方式结合起来，提出了一种基于观测器的控制方案。
Combining fuzzy Takagi-Sugeno (T-S) model with adaptive fuzzy logic systems, we present a tracking control scheme for a class of complex nonlinear systems.
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