高阶项 meaning in English
higher order terms
Examples
- In the third chapter , we discussed the problem about partial differential equation with small parameter on the high - order item
第三章主要对小参数在高阶项的偏微分方程进行讨论，也就是一般意义上的边界层问题。 - It is seen that the behaviors of light pressure forces with even order are similar to the zero order force while that of odd order forces are opposite to the zero order one
力的高阶谐波项随着激光强度的增加而增大，而且偶次高阶项的作用与零阶项的作用相同，奇次项的作用与此相反。 - Though the whole effects of the odd order and even order harmonic forces are almost destructive with each other for strong intensity , it is quiet different compared to the case of weak intensity . for weak intensity , the higher order harmonic forces can be neglected
虽然在激光强度较强时力的奇、偶高阶项的整体作用往往大部分相互抵消，但与弱场时高阶谐波项的作用可以忽略存在很大差异。 - This dissertation presented two new methods of robust adaptive track control for a class of mimo strong nonlinear system with external disturbance . one method makes use of taylor approximation principle to linearize the mimo strong nonlinear system at the ideal equilibrium point , meanwhile external disturbance is considered , and then designs two on - line neural network controller respectively , which can dynamically compensate the high order items of taylor series and the control signals at ideal equilibrium point under the drive of state error between linear and nonlinear system . a linear feedback controller obtained by pole assignment and two on - line neural network act on the practical mimo high nonlinear system together , guaranteeing the whole system robust stable and tracking the specified signal ; the other method designs three on - line neural networks for this class of system
本文对于一类含有外部扰动的多输入多输出( mimo )强非线性系统，提出了两种新的鲁棒自适应跟踪控制方法，第一种利用了taylor近似的原理，在考虑了外部扰动的情况下，将mimo强非线性系统在理想平衡点处线性化，分别设计了两个在线神经网络控制器，在线性和非线性系统之间的状态误差驱动下动态补偿系统的taylor近似高阶项及理想平衡点处的控制信号，满足极点配置方法的线性反馈控制器和两个在线神经网络联合作用于实际的被控mimo强非线性系统，在保证整个系统鲁棒稳定性的情况下，能够跟踪给定的指令信号；另一种方法是针对这类系统设计了3个在线神经网络，分别实时抵消这类非线性系统中的非线性部分、与控制量耦合的非线性项以及外部扰动，使得受控系统的输出可以完全跟踪给定输入参考信号。 - The key of the algorithm is identification of plant . based on analysis and calculation , the thesis presents the theory and method for minimum phase plant identification . the plant with uncertainty can be estimated through plant response to a short - duration step control effort acting directly on the plant so that the pdf control coefficients can be computed
该算法最重要的是对对象的辨识，经过大量的分析与运算，本文提出了在对象为最小相位时，辨识对象的阶数及其高阶项系数的理论和方法，即以阶跃信号直接激励被控对象，对其输出信号进行差分运算，利用所得的值判定对象的阶数及其高阶项系数。