最小方差控制

带偏差MIMO系统跟踪最小方差控制

Following minimum variance control for a MIMO system with a deviation

基于非线性系统T-S模糊模型的随机最小方差控制

Minimum Variance Control Based on Nonlinear T-S Fuzzy Model

数字PID在什么条件下是最小方差控制

Under What Conditions the PID Control is Minimal Variance

对装备减摇鳍系统的舰船横摇运动的准最小方差控制、加权准最小方差控制进行了研究，在计算机上进行了数字仿真，并与目前工程上使用的PID控制进行了比较。

Quasi-minimal variance control and weighted-quasi-minimal variance control for roll attitude of ship with stabiliser fin are studied in this paper . Digital simulation is carried out with computer , and it is compared with PID control used now in engineering .

舰船横摇运动准最小方差控制

Quasi - minimal Variance Control for Roll Attitude of Ship

基于最小方差控制的闭环辨识信号设计

Design of Identification Experiment Signal for Minimum Variance Control

一类双线性系统的最小方差控制及其应用

Self-tuning minimum variance control of a class of bilinear systems and its application

基于最小方差控制的惯导系统稳定回路性能评估

Performance assessment for stabilized loop of inertial navigation system based on minimum variance control

炮控系统的最小方差控制

Least variance control of gun control system

应用广义最小方差控制方法设计出自发投资的调控策略。

Stable minimum variance control for a class of nonlinear systems based on wavelet networks ;

在控制性能优化方面，我们考虑了最速控制和最小方差控制。

Control performance optimization is considered in terms of maximum convergence rate control and minimum variance control .

以广义最小方差控制原理为基础导出了扩展控制规律。

On the basis of generalized minimum variance control principles , an expanded control rule is induced .

容错控制是随机参数和随机噪声情况下的最小方差控制。

The fault tolerant control is of mini-mum variance control in the case of random parameters and noises .

造纸过程最小方差控制的参数匹配策略

LITTLE STONE Paper Strength Additives A Parameter Matching Policy of Minimum Variance Control in a Paper Making Process

提出了一种新的容错控制方案：随机参数最小方差控制。

This paper proposes a new algorithm of fault tolerant control : Minimum Variance Control on Random Parameter .

其次介绍了基于最小方差控制和基于给定点输入输出数据的在线性能计算与性能评价方法的研究，并以具体的模型为对象进行了控制器性能计算的仿真实验。

Next , introduce the method of performance assessment based on minimum variance controller and setpoint response data .

就此本文提出了一种非线性系统的广义最小方差控制的新方法。

This paper introduces a new method of the generalized minimum variance control ( GMVC ) for nonlinear systems .

本文针对未知参数的最小方差控制问题，提出了一种在谨慎控制器基础上加入探测信号的控制策略。

This paper presents a dual control strategy with a probing signal for the minimum variance control problems with unknown parameters .

在辩识模型的基础上按最小方差控制原理设计了一离散型自动电压调节器。

On the base of the identified model this paper also presents a discrete automatic voltage regulator by minimum variance control principles .

使用系统的交互矩阵并将广义最小方差控制律和前馈控制结合起来提出自校正前馈控制器。

A self-tuning feedforward controller is presented using the system interactor matrix and combining the generalized minimum variance control law with feedforward control .

通过正交最小二乘辨识方法获得系统闭环模型，在此基础上由方差分解公式计算得到非线性系统的最小方差控制性能指标。

Moreover , based on the achieved model , the minimum variance performance index of nonlinear systems is calculated by using variance decomposition formula .

当控制策略为最小方差控制时，给出信号功率谱的具体表达式。

Based on the method of minimum prediction error control , a multiple model adaptive controller ( MMAC ) for discrete time is presented .

本文论述了高精度螺纹磨床微机自适应控制系统的测量和控制原理，推导出了实用的最小二乘实时辨识和加权最小方差控制的速推算法，并介绍了实施控制的微型计算机硬件及软件部分。

The paper discusses the measuring and controlling principles of the system . The practical recursive algorithms of least-square real time identification and weighted-least-variance control are derived .

在比较弱的约束条件下，给出了最小方差控制方案、控制律及自适应控制算法。高速柴油机曲轴渗氮畸变规律与控制措施

Under the mild conditions , control scheme , control law and control algorithm are given . Distortion Law and Control Method of High-Speed Diesel Crankshafts During Nitriding

该程序可以方便的嵌入到极点配置控制、最小方差控制等仿真程序的子程序中。

The pro - gram listed is given , it can be easily used to the simulation program of pole placement control and least - square control , etc.

其次，通过引入在线参数辨识机制和广义最小方差控制，得到了轧钢加热炉过程的自校正控制器；

Secondly , based on the introduction of recursive least square method and minimum variance control law , the self-tuning control system for slab reheating furnace is developed .

然后，利用Grimble最近提出的非线性广义最小方差控制律对转换之后的状态依赖空间模型进行控制，得到了理想的控制结果。

Afterward , the nonlinear generalized minimum variance ( NGMV ) control law will be used to control the state-dependent space models and its simulation results are satisfactory .

将文献[1]的基于最小二乘算法的自适应最小方差控制的已有结果推广到更一般的多变量系统。

This paper generalizes the results established in [ 1 ] on the least square-based adaptive minimum variance control for linear stochastic systems to the more general multivariable systems .

这种控制系统将传统的最小方差控制技术与神经网络优良的非线性逼近能力相结合，从而能有效地消除不确定性引起的控制误差。

This control scheme integrates classical linear minimum variance control technique and the excellent learning ability of neural network . It can eliminate system control error caused by nonlinear uncertainties .

基于最小方差控制方法的控制器设计，经仿真验证，有效解决了绞车装置在强扰动情况下进行稳速控制的问题。

The thesis designs a control based on minimum variance control method . Emulations and experiments prove the design can effectively solve steady control problem of logging equipment in strong disturbance .