弱非线性系统 meaning in English
weakly non-linear system
Examples
- The stability and bifurcation condition of rotor system are obtained and the way to improve system stability and reduce the vibration amplitude through adjusting system parameters is indicated ; 3 ) the strong nonlinear dynamic characteristic of high - speed rotor system is studied . the movement trend of system and the effect of system parameters to dynamic characteristic are indicated . the deference of the strong / weak nonlinear system and the unique characteristic of the strong soft - nonlinear system are pointed out ; 4 ) the bifurcation behavior of nonlinear rotor system is studied and the parameter region when chaos phenomenon is appeared is obtained in bifurcation and chaos theory
研究了系统的稳定性条件和发生分岔的条件，提出了通过改变参数来提高系统稳定性和抑制振幅的方法； 3 ）运用强非线性理论研究了轻型高速转子系统在大扰动条件下的强非线性主共振和1 / 3亚谐共振的动力学特性，给出在强非线性条件下系统的运动趋势和系统参数对系统动力学特性的影响，并进一步指出强/弱非线性系统、软/硬非线性系统的区别以及强软非线性系统的独有特性。 - 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。 - Because the extension of dynamic change in weak nonlinear system is not large , the robust reliable controller designed by ldi can make the whole controlled system stable when time lag and faults exit in the system , at the same time , satisfying robust performance index of the system . next , considered that the approximation error produced by ldi , the unmodeling error produced by system , the parameter uncertainties and the external disturbances can not be ignored , a dynamic neural network controller is designed to compensate their effect on line . adjusted by the state output error between the ideal model and the controlled system , the cooperation of on - line network compensator and linear h _ ( ) controller of ideal model makes the whole close - loop system guar antee robust stability and track the specified signal well
本文在基于线性微分包含( ldi )的技术基础上，提出了两种非线性系统的鲁棒控制方法，首先讨论了一类弱非线性时滞控制系统中的鲁棒可靠控制器设计问题，由于弱非线性系统本身的动态变化范围不大，在确保整个系统鲁棒性能指标的前提下，当系统存在时滞和故障时，通过ldi设计出的鲁棒可靠控制器可以镇定整个被控系统；其次，在考虑运用ldi技术产生的逼近误差、系统本身的未建模误差及参数不确定性以及外部扰动的影响不能被忽略的情况下，设计了在线补偿这部分影响的动态神经网络控制器，在理想模型和被控系统状念输出误差的调节作用下，在线神经网络补偿器与理想模型的线性h _控制器相互配合，使得整个闭环系统既可以保证鲁棒稳定性又能够跟踪给定的指令信号。