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模型匹配
    Thispaper brings forward Multi-model Fuzzy Optimization Control by researching a lotsof system's construct of industry process with different operation which is regarded asMulti-model Object and making analysis with people's decision, whose keys arecalculation of MOdel Matching Degree and Control Weight.
    本文在此基础之上,通过研究众多工业过程在不同的操作条件下的系统结构,将其视为多模型对象(Multi-Model Object),同时对人的决策过程和对事物可信度的判断过程作出分析,提出了多模型优化模糊控制算法,算法的关键是模型匹配程度与控制权重的计算。
    This paper focuses one's the discussion on time—domain exact model matching control and frequency—domain exact model matching control for continuous—time system.
    本文着重论述了连续时间系统的时域精确模型匹配控制和频域精确模型匹配控制问题。
    The design method of the secong type exact model matching control system presented in this paper is the basis for complicated control system designs such as decouple control,adaptive control,etc.
    本文介绍的第二类精确模型匹配控制系统的设计方法是复杂控制系统设计的基础(如解耦控制及自适应控制等)。
    This paper discusses adaptive control problem based on exact model matching theory for con- timuous-time system.
    本文针对连续时间系统讨论了基于精确模型匹配理论的自适应控制问题。
    In this paper,the model matching problem (MMP) of nonlinear system is studied.
    研究了非线性系统的模型匹配问题(MODLEMATCHINGPROBLEM简称MMP)。
    The main idea is that under general conditions the nonlinear model matching problem can be solved,when and only when the linear control systems and their reference models have solutions in the domain of their eqilibrium points.
    其指导思想是在一般条件下,当且仅当线性化控制系统和参考模型在其平衡点附近可解,则非线性模型匹配问题才可解。
    This paper discusses the problems on decoupling control with exact model matching and adaptive decoupling control for multivanable system,and presentes relevant design methods of the system.
    本文针对多变量系统讨论了有关精确模型匹配解耦控制和自适应解耦控制问题,并提出了相应的设计方法。
    A MMP nonlinear controller for a distillation column is deduced by utilizing the model matching problem of nonlinear system for the controller design of a distillation column.
    将非线性系统模型匹配问题 (MMP)应用于精馏塔产品质量控制器的设计 ,得到精馏塔的MMP非线性控制器。
    Firstly, analyze the principle of design of some model matching methods in traditional PID control, and then put forward a method of controller design, which is based on the theory of sliding variable structure.
    文中首先分析了传统PID控制中的部分模型匹配方法的设计原理 ,然后提出了基于滑模变结构理论的控制器设计方法。
    The model matching error and the optimal solution in the Hardy space are extended to the locally convex space,and the model matching error and the optimal solution in the locally convex space are achieved.
    将Hardy空间中的模型匹配误差与最优解推广到了局部凸空间,得到了局部凸空间中的模型匹配误差与最优解.
    In addition,the system also realizes the recognition of the corridor corner by analyzing the variation ratio of the model matching value.
    同时通过对识别模型匹配值的变化率分析,实现了对走廊拐角的识别。
 

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