A new iterative learning control (ILC) updating law is proposed for the tracking control of continuous linear system over a finite time interval.
提出了一个新的迭代学习控制(ilc)更新律用于连续线性系统的有限时间区间跟踪控制。
If a system can transfer toward arbitrary desired state from the arbitrary initial state within a finite time interval under the governing of the control action, then it has controllability.
系统在控制作用支配下能够在有限时间间隔内从任意初始状态向任意希望状态转移，则其具有能控性。
It is mainly composed of DMA controller (82c37), interrupt controller (82c59), programmable interval timers (82c54), DRAM refresh control, wait state generator and system reset logic.
其内部主要由DMA控制器(82c37)、中断控制器(82c59)、可编程间隔计时器(82c54)，DRAM刷新控制器，等待状态产生器，系统重置电路组成。
To solve the uncertain control problem of system, the uncertain parameters were described by the interval model, and the uncertain control problem was approximated by a deterministic.
为了解决控制系统的不确定性问题，将不确定参数用区间表示，使不确定问题转化为确定性问题。
The essence of the affairs is the absence of corresponding theory and theoretical instructions. Based on the brief analyses of the theory on velocity interval control of automatic block system with m…
本文在简要分析多信息自动闭塞系统速度 -间隔理论的基础上 ，建立了列车速度 -间隔控制方案的优化模型 ，介绍了模型的求解和实用算法的构造并给出了算例。
The idea of ILC is to gradually revise imperfect control input using the error between system output and the desired trajectory and realize perfect tracking in a finite time interval.
迭代学习控制的基本思想是基于输出信号与给定目标轨迹的偏差不断修正不理想的控制输入信号，实现在有限时间区间的完全跟踪任务。
The idea of ILC is to gradually revise imperfect control input using the error between system output and the desired trajectory and realize perfect tracking in a finite time interval.
迭代学习控制的基本思想是基于输出信号与给定目标轨迹的偏差不断修正不理想的控制输入信号，实现在有限时间区间的完全跟踪任务。
应用推荐