This paper presents a new method of optimal robust pole_placement using the theory of dynamical interval, and apply it to design robust controller of hydraulic turbine regulating system.
本文应用动态区间系统最优鲁棒极点配置方法，对常规极点配置方法进行了改进，并应用于水轮机调节系统的最优鲁棒控制器的设计。
Finally, resorting to computer simulation, a comparison is made to show that the robust exciting controller have an advantage over the linear optimal exciting controller.
最后，用计算机仿真的方法对该控制器进行了研究，结果表明线性鲁棒励磁控制器在稳定系统方面优于线性最优励磁控制器。
In this paper, a robust self-tuning control algorithm for PID controller with pole assignment optimal prediction suitable for the process with unkaow or time-varying delay is proposed.
本文提出一种适合于时变时滞系统的极点配置最优预报自校正PID鲁棒控制算法。
Compared to the optimal PID control, a result is obtained that the simulating human intelligent controller has many advantages such as fast response, less overshoot, and good robust.
与最优PID控制仿真对比分析，仿人智能控制器具有响应速度快、超调小、鲁棒性好等优点。
An example is given to illustrate the design step. Also the parameters of robust optimal tracking controller and the tracking curve are presented.
以一实例来说明鲁棒跟踪控制器具体的设计方法，给出该不确定系统鲁棒跟踪控制器的参数及系统的跟踪轨迹曲线。
The T-S fuzzy models of the velocity loop and position loop are constructed via the table's nonlinear dynamic model. Robust-optimal controller of velocity-loop is designed for velocity orientation.
通过转台的非线性动力学模型建立了转台速度环以及位置环的T - S模糊模型，设计了实现速率定位功能的速度环鲁棒最优控制器。
The T-S fuzzy models of the velocity loop and position loop are constructed via the table's nonlinear dynamic model. Robust-optimal controller of velocity-loop is designed for velocity orientation.
通过转台的非线性动力学模型建立了转台速度环以及位置环的T - S模糊模型，设计了实现速率定位功能的速度环鲁棒最优控制器。
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