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强非线性系统的英文

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"强非线性系统"怎么读用"强非线性系统"造句

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  • strongly non-linear system

例句与用法

  • Approximate solution of a class of coupling nonlinear systems
    一类耦合强非线性系统的近似解
  • Asymptotic method for solving resonance solutions of strongly nonlinear systems
    强非线性系统共振解的渐近法
  • Response of strongly nonlinear oscillator to narrow - band random excitation
    窄带随机噪声作用下强非线性系统的响应
  • On the other hand , being a high nonlinear quality system , marine power system needs to be modeled and simulated under an accurate simulation and analysis environment
    另一方面,由于船舶电力系统是一个强非线性系统,必须有精确的分析平台,对船舶电力系统进行精确的建模和仿真。
  • Compared to linear item , the nonlinear item is not small in these systems . so the traditional perturbation methods may not be applied in strongly nonlinear system directly
    对于强非线性系统,由于非线性项相对于线性项不再是小量,所以传统的摄动方法往往不能直接应用来研究强非线性系统。
  • 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。
  • Unlike traditional differential geometrical method , the robust adaptive neural net - based control emphasizes on the theory and application of intelligence control in nonlinear system that is weighed by robust performance index . the problem of robust reliability and stability in a kind of weak nonlinear system is first proposed in the dissertation , and then it deeply analyses and discusses the problem of how to design track controller in strong nonlinear system with uncertainties and external disturbance on the premise of guaranteeing the whole system ' s robust performance index . the distributed 3d flight simulation platform is mainly used to validate real - time program and evaluate the efficiency of advanced flight control laws , therefore , some theories and techniques related to the platform are also introduced
    基于神经网络的鲁棒自适应控制研究和分布式三维飞行仿真平台的构建是本论文研究的两个主要内容,与传统微分几何方法不同的是,基于神经网络的鲁棒自适应控制侧重于智能控制方法在以鲁棒性为性能指标的非线性系统中的理论和应用研究,论文以一类弱非线性系统的鲁棒可靠镇定问题为引线,逐步深入地分析和探讨了在保证整个被控系统鲁棒性能指标的前提下,对于几类具有不确定性和外部扰动的强非线性系统跟踪控制器的设计问题;分布式三维飞行仿真平台主要用于先进飞行控制律的实时程序验证和效能评估之用,因此关于平台的一些开发原理和技术方法也在文中给出了介绍。
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