系统不确定性的英文

• systematic uncertainty

• "系统"英文翻译    system
• "不确定性"英文翻译    uncertainty; nondeterminacy
• "系统不确定度" 英文翻译 :    systematic uncertainty; systematicuncertainty
• "不确定性" 英文翻译 :    uncertainty; nondeterminacy◇不确定性有限自动机 nondeterministic finite automation; 不确定性原理 uncertainty principle
• "不确定性的" 英文翻译 :    probabilistic
• "不确定性和" 英文翻译 :    uncertainty and
• "不确定性；不确定度" 英文翻译 :    indeterminacy
• "不确定性, 不定性" 英文翻译 :    indeterminacy
• "系统不稳定性" 英文翻译 :    system instability
• "不确定性边际" 英文翻译 :    margin of uncertainty
• "不确定性程度" 英文翻译 :    degree of uncertainty
• "不确定性范围" 英文翻译 :    range of indeterminacy
• "不确定性分析" 英文翻译 :    indeterminate analysis; uncertainty analysis
• "不确定性故障" 英文翻译 :    indeterminate fault
• "不确定性规避" 英文翻译 :    uncertainty avoidance
• "不确定性回避" 英文翻译 :    uncertainty avoidance
• "不确定性解释" 英文翻译 :    uncertain interpretation
• "不确定性推理" 英文翻译 :    uncertain inference
• "不确定性系数" 英文翻译 :    coefficient of uncertainty
• "不确定性因素" 英文翻译 :    uncertain factor
• "不确定性音乐" 英文翻译 :    indeterminacy music
• "不确定性原理" 英文翻译 :    uncertainty principle
• "国际不确定性" 英文翻译 :    int’l journal of uncertainty, fuzziness & knowledge-based systems
• "环境不确定性" 英文翻译 :    environmental uncertainty
• "技术不确定性" 英文翻译 :    technological uncertainty

• The problem of iterative learning control in the presence of initial repositioning errors is addressed without assuming the bound on the repositioning errors to be small enough for the consideration of convergence
  摘要提出系统不确定性项定常参数化和时变参数化情形下的控制器设计方法，它允许初始位置任意设置且定位误差不要求足够小。
• This dissertation is meant to combine the theory of stochastic processes and the theory of fuzzy sets to find some new methods of system modeling , analysis and control by describe uncertainty more minutely , and then to balance the optimization and the robustness
  本文的目的是综合运用随机过程和模糊集合论的方法，通过更加精细地刻画系统不确定性，探索具有模糊随机不确定性的系统建模、分析和控制的新方法，并期望在最优性与鲁棒性之间寻求比较好的结合点。
• People , ship and environment are all dynamic states , which form a comprehensive and mutual implication system . applied dynamic layout theory and optimum cybernetics make the comprehensive policy and dominance on system uncertainty due to complexity and changeability of the sea environment
  人、船舶和环境都是动态因素，是一个十分复杂的相互牵连系统，应用动态规划理论和最优控制理论，对航行环境的复杂性和可变性而导致系统不确定性作出综合决策和控制，并对改向决策后的船舶操作运动进行控制实现。
• The dissertation refers to comparatively full literatures in the field of vsc , and the development history and characteristics of vsc are summarized , and the elementary concepts , elementary definitions , elementary properties , elementary principles and design methods are particularly introduced , and the causes of the chattering phenomenon are systematically analysed , and the study status of the chattering phenomenon and the main methods to eliminate the chattering are elaborated . for the deficiencies of traditionary methods , three improved methods are developed , which are improved exponent reaching law solution , variable boundary layer solution and the solution by adding an auxiliary continuous control term . for uncertain linear systems , an adaptive fuzzy integral variable structure control stategy ( afivsc ) is put forward to eliminate the chattering around the sliding plane , which introduces fuzzy logic to soften the non - linear discontinuous sig nal in the control variable and utilizes adaptive theory to adjust output membership function according to how much the uncertainty of the system is
  比较全面地查阅了关于变结构控制理论的文献，总结了滑模变结构控制的发展历史和特点，详细介绍了变结构控制的基本概念、基本定义、基本性质、基本原理以及设计方法；系统分析了变结构控制系统抖振产生的机理，并阐述了国内外目前对抖振问题的研究现状以及消除抖振的主要方法；针对传统抑制和消除抖振方法的不足，改进了传统方法，得到了三种新的消除抖振的方法? ?即改进的指数趋近律法、可变边界层法和附加连续项法；针对不确定性线性系统，在变结构控制策略中引入模糊逻辑和自适应理论来消除滑动平面上的抖振，提出了一种自适应模糊积分变结构控制方案( afivsc ) ，利用模糊逻辑来柔化控制量中非线性不连续部分，采用自适应理论，根据系统不确定性大小在线调整模糊输出量的隶属函数，另外，鉴于模糊控制本质上是有静差的，所以本文选择了带积分项的切换函数，由于积分项的存在使系统较正为无静差系统。
• Mixed sensitivity approach is used to ensure the system to retrain the exoteric low interference at low frequency , and to be robust and stable when the system exist uncertainty at high frequency . and the steps of selecting weights functions is concluded according to abnormal hn problems . ( 2 ) the neural network is used to further suppress the system uncertainty and error resulted from exoteric interference to improve the control precision by its good learning ability
  其中， ( 1 )鲁棒控制器基于h控制理论，用混合灵敏度设计方法保证系统在低频段抑制外界的低频干扰，而在高频段能保证在系统不确定性存在的情况下，仍然使系统达到鲁棒稳定的性能，并对非标准h问题，总结出选择加权因子的步骤； ( 2 )神经网络控制器利用神经网络的良好泛化能力，进一步抑制由于系统不确定性因素和外界干扰而引起的系统误差，从而提高控制精度。
• 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。