多变量系统

基于H∞控制的多变量系统PID参数整定

PID Controller Tuning for Multivariable System Based on H_ ∞ Control

PID控制；自整定；专家控制；多变量系统；

PID control Automatic tuning Expert control Multivariable system ;

关于多变量系统P规范描述与V规范描述的讨论

The Discussion on P and V Canonical Description of Multivariable Systems

多变量系统自校正控制CAD教学软件包

A New Multivariable System Self-Tuning Control CAD Software Package For Education

基于H∞控制的多变量系统仿真

Simulation of Multivariable Processes Based on H_ ∞ Control

PID神经元网络对强耦合带时延多变量系统的解耦控制

PID Neural Network for Decoupling Control of Strong Coupling Multivariable Time-Delay Systems

输入输出非对称多变量系统的PID神经网络控制

PID Neural Network Control for Unsymmetry Multivariable Systems

多变量系统的PID控参数设计方法研究

The Research of Designing Multi-Variable PID Controller Parameters

线性多变量系统的控制Lyapunov函数构造

The construction of control Lyapunov functions for linear multivariable systems

使用多变量系统鲁棒设计CAD平台对某电厂锅炉燃烧过程设计了多变量鲁棒控制系统，并进行了数值仿真。

The multivariable robust control system for a power boiler combustion process is designed and simulated with multivariable system robust design CAD platform .

链条炉是一种多变量系统，难以用比较准确、实用的数学模型来表示，所以用常规的PID控制难以达到理想的控制效果。

Stoker is system of multi-variable which is difficulty to establish accurate mathematical model , so that usual PID is not ideal result .

对多变量系统设计了神经网络PID控制，解决了多变量系统P、I、D参数难以整定的问题。

Neural network PID control is designed for multivariable system , which solutes the difficulty that P , I , D parameter for multivariable system is not easily ascertained .

仿真试验表明，应用Boltzmann机可实现任意时变多变量系统的线性二次型动态优化控制。

Emulation experiment shows boltzmann machines can implement linear quadratic optimal control of any multivariable time-variant system .

多变量系统Laguerre预测控制算法及其改进

Laguerre Predictive Control Algorithm of Multi-variable System and its Improvement

根据文献[1]，本介绍利用矩阵奇异值分解（SVD）的多变量系统稳定性判定的程序算法，并以实例说明这种方法的特点和应用。

According to reference [ 1 ] , this paper presents the algorithm and programme of the multi -

基于主导能量法和Pade逼近法的多变量系统的模型简化

A Model Reduction Method for Multivariable Systems Based on Technique of Dominant Energy and Pade Approximation

在概率描述框架下，针对含有参数摄动的线性多变量系统，提出一种新的鲁棒LQ优化设计方法。

A new approach to robust LQ optimization design for linear multivariable systems with parametric uncertainties is presented within probabilistic framework .

基于广义预测控制（GPC）思想和γGPC与PID的相互关系，提出了一种新的离散多变量系统PID参数整定方法。

Based on the idea of GPC and the relation between y GPC and PID controllers , a new tuning algorithm of PID controller parameters for discrete multivariable systems is presented .

本文提出了同时估计线性多变量系统所有参数的联合辨识算法（CIA），并用随机过程理论分析了算法的收敛性。

In this paper , the combined identification algorithm ( CTA ) for linear multivariable systems is presented which can simultaneously estimate all parameters of the whole system .

并利用MATLAB验证此改进的结合算法在多变量系统中的适用性和有效性，同时针对MIMO系统中参数该如何整定进行了仿真研究。

And , verified the feasibility and validity of improved algorithm in multivariable system by making use of MATLAB . Then , simulation research was carried out aiming at how to adjust the parameters in the MIMO system .

以完整的最小二乘递推算法和以约束最优化方法为基础，提出了p-输入q-输出多变量系统的最优预报控制（OPC）方法。

Based on the perfect recursive least-squares algorithm and the constrained optimization method , the optimal predictive control ( OPC ) method for multivariable systems with p inputs and q outputs is presented .

针对一类数学模型不完全确知并包含外部扰动的非线性多变量系统，提出一种模糊神经网络（FNN）自适应控制策略。

A kind of fuzzy-neuro network ( FNN ) adaptive control law was proposed for a class of nonlinear multivariable system that include unknown functions and external disturbances .

针对多变量系统，控制界的学者们推出了许多将不同控制策略结合进去的CSCAD软件包或仿真平台。

For multi-variable system , researchers have presented many CSCAD software packages or simulation platforms that have been integrated with various different control policies .

为满足锅炉这样一种多变量系统，且被控量具有非线性，时变大以及相互耦合较强的控制要求，提出将模糊控制与常规PlD有机结合，形成P-Fuzzy-PI控制方案，用于锅炉水位控制。

In order to meet the control requirements of the boiler which is a multiple-variable system with non-linear controlled values , big time varying and mutual couple , the P-Fuzzy-PI control strategy which is composed of fuzzy control and conventional PID control is stated .

一种基于奇异值分析的多变量系统设计方法

A Singular Value Analysis Based Design Method for Multivariable Control Systems

多变量系统预测的支持向量机方法研究

Research of support vector machine method on prediction of multi-variable system

基于遗传算法的非线性多变量系统模糊神经网络控制

A FNN Control for a Nonlinear Multivariable System Based on GA

应用多变量系统辨识建立浮选回路在线模型

The development of flotation circuit on-line model by multi-variable system identification

纯滞后多变量系统的预估补偿控制

On the Predictor compensator Control of Purely Retarded Multi variable System

多变量系统模型辨识的曲线拟合方法

The method of approaching curve for model identification of multivariate system