为提高动态系统的性能，提出了一种基于线性矩阵不等式技术的鲁棒输出反馈控制器设计方法。
To enhance the performance of dynamic systems, a design method of robust output-feedback controller based on the linear matrix inequality technique was proposed.
利用人工神经网络，讨论了线性定常控制系统关于状态反馈、输出反馈及动态补偿器的极点配置问题。
By Using an artificial neural network, the pole assignment problem of state feedback, output feedback and dynamic output feedback compensators in linear control system are discussed.
讨论了单输入单输出非线性最小相位系统的动态输出反馈镇定。
The paper discusses dynamic output feedback stabilization of minimum phase nonlinear systems with single input and single output.
主要结果是，如果一非线性系统的零动态是逼近渐近稳定的，则能用动态输出反馈镇定。
The main result is that a discrete time minimum phase nonlinear system is stabilizable via dynamic output feedback if its zero dynamics is approximately asymptotically stable.
分别为所论系统构造了输出反馈动态补偿器，该补偿器可以实现对所论非线性不确定系统的动态输出反馈指数的镇定。
The dynamic compensators by output feedback are constructed, which make the controlled plants be asymptotically stable in Lyapunov's sense.
模糊模型用于描述对象的非线性动态特性，通过将模糊模型的输出反馈回来作为模型输入，从而构成了模糊多步预报器。
T_S fuzzy model is used to approximate the dynamics of nonlinear processes. By feeding the output of the fuzzy model as the model input in a cascade way, a multi_step fuzzy predictor is derived.
模糊模型用于描述对象的非线性动态特性，通过将模糊模型的输出反馈回来作为模型输入，从而构成了模糊多步预报器。
T_S fuzzy model is used to approximate the dynamics of nonlinear processes. By feeding the output of the fuzzy model as the model input in a cascade way, a multi_step fuzzy predictor is derived.
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