测试系统的非线性动态补偿是仪器技术的一个重要方面。
Nonlinear dynamic compensation of measurement systems is an important aspect in the field of instrument technique.
为了进一步提高系统的动态性能，在非线性PI算法中加入了负载电流前馈补偿控制。
To improve further the dynamic characteristic, the non-linear PI arithmetic with the load-current forward compensating (LCFC) control is also improved.
动态逆控制器用来对消无人机的非线性，在线神经网络补偿对消不精确引起的状态误差。
The dynamic inversion controller is used to eliminate the nonlinearity and the online neural net is used to compensate the state error caused by the elimination imprecision.
本文讨论了一种具有在线误差补偿的非线性动态逆控制器设计方案。
In this paper, it is discussed how to design an online error compensator for a fight control system by the method of nonlinear dynamic inverse.
飞机的基本控制律采用非线性动态逆方法设计，对于模型不准确和舵面故障等因素导致的逆误差采用神经网络进行在线补偿。
The base control law is designed in nonlinear dynamic inversion, and neural networks are used to cancel the inversion error induced by many reasons, especially by actuator failures.
设计中使用了2个神经网络，经离线训练的NN1实现非线性系统的逆，在线网络NN2用于补偿逆误差和系统的动态特性变化。
Two neural networks are used, the inversion of nonlinear systems is realized by off-line trained NN1, on-line NN2 is used to compensate inversion error and varieties of system dynamic property.
除了机组自身非线性动态外，本文指出控制器约束是系统非线性的另一重要因素，采用一些简单的抗回绕技术可以补偿这种非线性因素。
Despite the nonlinear dynamics, it is shown that the controller constraint is another important factor of system nonlinearities, which can be compensated using some simple antiwindup techniques.
本文对由晶闸管控制电抗器（TCR）型装置与一个固定电容器组（FC）型装置组成的静止无功补偿系统（SVC）建立了一个三阶非线性动态模型。
This paper discusses a nonlinear design for TCR-FC Static Var Compensator (SVC) to improve power system voltage stability. A third order nonlinear dynamical model for the SVC system is the developed.
瓦斯检测采用热催化元件和补偿元件搭建电桥采集电路，通过瓦斯浓度非线性动态标定算法提高了瓦斯检测精度。
Gas measure adopt collection circuit based on the hot catalyses component and the compensate component, the arithmetic of the non-linear and dynamic advance the gas precision.
分别为所论系统构造了输出反馈动态补偿器，该补偿器可以实现对所论非线性不确定系统的动态输出反馈指数的镇定。
The dynamic compensators by output feedback are constructed, which make the controlled plants be asymptotically stable in Lyapunov's sense.
针对零极点匹配动态补偿方法的不足，提出基于非线性神经网络的摆式列车检测系统动态补偿方法。
In view of the disadvantages of zero-pole matching dynamic compensation method, the dynamic compensation method of tilting train measurement system based on non-linear neural network is put forward.
针对零极点匹配动态补偿方法的不足，提出基于非线性神经网络的摆式列车检测系统动态补偿方法。
In view of the disadvantages of zero-pole matching dynamic compensation method, the dynamic compensation method of tilting train measurement system based on non-linear neural network is put forward.
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