• 针对一类非线性输出注入系统研究了基于自适应观测器故障估计问题

    Fault estimation based on adaptive observer is studied for a class of nonlinear output injection system.

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  • 针对一类非线性系统模糊tS模型自适应模糊逻辑系统模糊逻辑方式结合起来,提出一种基于观测器控制方案

    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.

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  • 针对一类非线性系统,把模糊t - S模型自适应模糊逻辑系统模糊逻辑方式结合起来,提出基于观测器跟踪控制方案

    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.

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  • 提出非线性系统自适应状态观测器设计方法

    A design method of adaptive state-observers for nonlinear systems is proposed.

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  • 自适应观测器中的非线性修正项考虑转速跟踪误差影响外,还考虑了转子电阻估计误差磁链观测误差影响。

    In rotor flux adaptive observers, the influence of flux amplitude tracking error estimate and rotor resistance estimate error in addition to speed tracking error is considered.

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  • 针对一般非线性系统故障检测,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.

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  • 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.

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  • 针对一类非线性系统,把模糊t - S模型适应模糊逻辑系统模糊逻辑方式结合起来,提出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.

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  • 针对一类非线性系统模糊t S模型自适应模糊逻辑系统两类模糊逻辑方式结合起来,提出一种基于观测器控制方案

    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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  • 针对一类非线性系统模糊t S模型自适应模糊逻辑系统两类模糊逻辑方式结合起来,提出一种基于观测器控制方案

    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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