But the learning period of opened-loop iterative learning control is long, and the unstable and high gain phenomena may be taken place during the initial stage of iterative learning control.
开环迭代学习控制学习周期长,在迭代学习的初期容易出现不稳定和高增益的现象。
By introducing integral variable structure and high gain observer, the closed-loop control systems is shown to be globally stable in terms of Lyapunov theory, with tracking error converging to zero.
通过引入积分型变结构切换函数及高增益误差观测器,基于李雅普·诺夫稳定性理论,证明了闭环系统是全局稳定的,输出跟踪误差都收敛到零。
The high frequency gain of the regulator is limited to suppress the high frequency oscillation of the control signal while assigning the closed-loop poles.
在配置闭环极点的同时,对调节器的高频增益加以限制,以减弱控制信号的高频振荡。
The high-gain parameter is appropriately chosen to make the zero solution of the closed-loop system globally asymptotically stable in probability, and regulate the output to the origin almost surely.
高增益参数选择适当使零的解决方案,闭环系统全局渐近稳定的概率,并调节输出的起源几乎可以肯定。
Experiments demonstrate that L-band EDFA will achieve high flat gain by employing a gain flat filter based on fiber loop mirror (FLM).
使用光纤环形镜(FLM)作为增益平坦滤波器进行L波段掺铒光纤放大器的增益平坦化实验,实现了高增益值的平坦输出。
Experiments demonstrate that L-band EDFA will achieve high flat gain by employing a gain flat filter based on fiber loop mirror (FLM).
使用光纤环形镜(FLM)作为增益平坦滤波器进行L波段掺铒光纤放大器的增益平坦化实验,实现了高增益值的平坦输出。
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