为了有效地抑制网络延时对网络控制系统性能的影响，提出了一种鲁棒数字比例积分微分(PID)控制器设计方法。
In order to restrict the influence of network-induced delays on the performance of networked control systems, a novel robust proportional-integral-differential (PID) control technique was proposed.
为了实现一类非线性系统的鲁棒混沌反控制，提出非线性不确定系统鲁棒混沌反控制的非线性比例积分微分控制(NPID)方法。
In order to realize chaos robust anti-control of a class of nonlinear system with uncertainties, a nonlinear proportional integral differential (NPID) control method was put forward.
在分析分数阶微积分的基础上，提出了一种新型模糊分数阶比例积分微分控制器。
A novel fuzzy fractional order proportional integral derivative (FFPID) controller based on fractional calculus is presented.
并提出一种基于RBF神经网络逆控制与比例微分控制相结合的双模控制策略。
Which is based on the proposed RBF neural network inverse controller and a proportion differential controller.
该文提出一种适用于一阶或二阶加延迟系统的自校正比例-积分-微分控制器的设计方法。
A new design approach for self-tuning PID controller with parameter optimization is proposed in this paper.
根据极地轨道地磁场变化的特性，利用卫星的姿态角和姿态角速率作为反馈信号，提出了一种采用磁力矩器的比例微分(PD)控制规律设计方法。
Taking into account properties of the geomagnetic field, a new PD magnetic control law using the feedback information of attitude Angle and attitude rate is developed.
根据极地轨道地磁场变化的特性，利用卫星的姿态角和姿态角速率作为反馈信号，提出了一种采用磁力矩器的比例微分(PD)控制规律设计方法。
Taking into account properties of the geomagnetic field, a new PD magnetic control law using the feedback information of attitude Angle and attitude rate is developed.
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