系统不确定性 meaning in English
systematic uncertainty
Examples
- As neural network has the ability of self - learning , that utilizes prior output data of uncertain system to estimate iteratively the static state property of system in order to achieve ideal approaching precision for identification of the positive model , a robust iterative learning control scheme on the basis of better positive model is designed . the neural network is used to identify the positive model of nonlinear system on iterative axis , which can give feed - forward action of iterative learning controller to reduce the effects of nonlinear properties and model uncertainties . meanwhile , feedback action of iterative learning controller make joint movement follow the desired trajectory on time axis by using controlled parameters derived by the neural network
由于神经网络具有自学习能力，它可利用不确定性系统的历史输出数据对系统的稳态特性进行估计，使得对系统正向模型的辨识达到理想的逼近精度，然后在此正向模型的基础上进行学习控制律的设计：即采用神经网络辨识非线性系统的正向模型，并消除系统不确定性和外部干扰的影响，使关节运动沿迭代轴方向逼近期望轨迹；迭代学习控制器在线学习控制参量，使关节运动沿时间轴方向跟踪期望轨迹。 - The new full - order unknown input observer is adopted to estimate the state and the fault at the same time . a dead zone function is used in the adjust rule of the weight matrix of fault observer neural network , so that the robust of fault is improved under the uncertainty of system
提出一种利用神经网络构造的全阶未知输入观测器结构,将系统不确定性和故障分别作为系统的两种未知输入,并通过在故障观测神经网络权值的调整规律中引入死区函数,提高了故障观测对系统不确定性的鲁棒性。 - The calculated examples show that , compared with other conventional control methods , the methods used in this paper can ensure the system to have stronger robustness according to the system uncertainty , suppress impact interference more obviously and quickly , and further weaken the vibration resulted from low interference so as to improve the control precision
算例分析表明，与传统的控制方法相比，采用本文的方法可以保证对系统不确定性具有较强的鲁棒性；可以使转子快速平稳地上浮，超调量小；对冲击载荷的干扰抑制更明显，响应速度快；明显削弱由低频干扰所引起的振动幅值，提高了控制精度。 - In the new method the uncertainty of the system to be controlled is normalized firstly , and then the partition of unity that is subordinated to a open covering of state variables compact set is constructed , and the approximation is realized by using its property that can approximate nonlinear continuous function with arbitrary precision , then the decentralized adaptive robust controller of complex systems and adaptive laws of approximate parameter estimation are designed
该方法首先对被控系统中的不确定性进行归一化处理，进而构造出从属于状态变量的紧致域的一组开覆盖的单位分解，利用其具有以任意精度逼近非线性连续函数的性质，实现了对被控系统不确定性的近似逼近，然后设计了复杂系统的分散鲁棒控制器和参数估计的自适应律，并证明了这种控制器使被控系统的状态及参数估计误差一致终极有界。