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- A stability criterion for the predictive PI control system in the presence of process gain variations is derived. 此外，通过根轨迹法，推导出存在增益失配时，预测PI控制系统的稳定性判据。
- Delay Margin for Predictive PI Control System 预测PI控制系统的时滞稳定裕度
- Simulation and Application of a Predictive PI Controller for Time-delay Process 一类大时滞过程的预估PI控制器的仿真和应用
- Robust stability of predictive PI control algorithm for delay network 时滞网络预测PI控制算法鲁棒稳定性分析
- Double predictive PI control for integrator plus time delay processes 一类非自衡加纯滞后系统的双预测PI控制
- Double predictive PI control for integrator plus time delay processes and its application 积分加纯滞后系统的双预测PI控制及其应用
- Predictive PI control for multivariable processes and its application in industry 多变量对象的预测PI控制及其工业应用
- predictive PI controller 预测PI控制
- predictive PI control 预测PI控制
- The first method is that the predictive PI(D) controller is designed by a low order model reduced directly from the process model. 一种方法是直接将高阶滞后对象在频率域内降阶为低阶滞后对象，针对低阶滞后对象设计预测PI(D)控制器；
- The second one is that a controller is first designed by the prescribed performance index, and then the controller is simplified to a predictive PI(D) controller. 另一种方法是按照规定的性能指标设计控制器，并将该控制器在频率域内降阶为具有预测PI(D)控制器的结构形式。
- The experiment proves that it is superior to the classical PI controller. 试验证明比传统的PI控制器优越。
- The results show that this PI controller is effective in LSRM speed control. 仿真结果表明该方法可以很好的用在控制中。
- Rajani K. Mudi, Nikhil R. Pal.A self-tuning fuzzy PI controller[J], Fuzzy Sets and Systems （2000） 327-338. 周箴;万淑芸等.;模糊控制在无速度传感器交流调速系统中的应用[J]
- While ADRC remain unchanged, ADRC controller has better robustness compared with traditional PI controller. 由此可见与传统PI控制器相比，ADRC控制器具有更强的鲁棒性。
- Then the PI tuning method of SISO was used to obtain the optimal PI controller for each loop. 利用SISO系统PI控制器设计方法确定每个环路的最优PI控制器。
- Double loop control system was chosen, in which a PI controller was adopted in the speed and the current loop. 系统采用外环速度环、内环电流环双闭环控制系统，速度调节器和电流调节器采用PI控制。
- Integrating fuzzy neural network and PI controller,we ob-tained a fuzzy neural decoupled hybrid controller. 本文将模糊神经网络与PI控制技术相结合构成一种模糊神经解耦混合控制器。
- The controller of the DC motor speed adjusting system is developed,which is based on ITAE optimum control theory com-bined with PI control. 提出了一种用于直流电机调速系统的控制器设计方法,该方法主要基于ITAE最优控制理论,并结合PI控制。
- Abstract: The controller of the DC motor speed adjusting system is developed, which is based on ITAE optimum control theory combined with PI control. 摘要：提出了一种用于直流电机调速系统的控制器设计方法，该方法主要基于ITAE最优控制理论，并结合PI控制。
