时变系统

基于Fuzzy推理的时变系统建模

Time-varying system modeling method based on fuzzy inference

线性时变系统闭环PID型迭代学习算法的仿真分析

The Simulation Analysis on Closed-Loop PID-Type Iterative Learning Algorithm of Linear Time-Varying System

n阶线性时变系统的渐近稳定性

The Asymptotic Stability of Linear Nonautonomous Systems of n Dimensions

带有参数不确定的线性时变系统的鲁棒H∞滤波

H_ ∞ Filtering for Linear Time-Varying Systems with Parameter Uncertainty

基于MATLAB的时变系统自适应控制的仿真

The Simulation of Time-Varying Adaptive Control Systems Based on MATLAB

基于连续Hopfield网络的多变量时变系统最优控制

Continuous Hopfield Neural Network Based Optimal Control for Multivariable Time-varying Systems

针对工业慢时变系统非线性、调节时间长、参数难以用常规PID控制方法整定等的特点，提出了一种混合神经网络参数自整定复合控制方案。

To overcome the defects of the slow time-varying system , a mixed neural network of parameters self-setting control strategy is proposed .

AR与Prony法的时变系统模态参数识别

Modal Parameter Identification of a Time-Varying System by Autoregressive Modelling and Prony Analysis

PID算法原理简单，但容易产生超调，因而对于非线性和时变系统难以实现精确控制。

The PID algorithm is simple , but it is difficult to achieve higher precision and smaller overshoot for the nonlinear and the time-varing system .

针对工业控制领域中复杂非线性时变系统，采用传统的控制方法不能达到满意的控制效果，提出了基于神经网络的PID自适应控制方案。

The traditional control method can 't acquire satisfying result for complicated systems which are of characteristics of nonlinearity and time-variation in industrial control fields .

核动力蒸汽发生器（SG）是一个高度复杂的非线性时变系统。

Nuclear steam generator ( SG ) is a highly complex nonlinear time-changed ( system ) .

针对常规PID控制器对于非线性、时变系统难以达到控制要求的不足，采用了模糊比例双模分段控制器设计温度控制系统。

A fuzzy-p controller is applied in temperature control system in this paper . It can be proved that this method is superior to traditional PID controller to nonlinear and time-dependent dynamic system .

研究结果表明，变论域变步长LMS算法克服了收敛速度、时变系统跟踪速度与收敛精度方面的矛盾；

The result shows that LMS algorithm could resolve the contradiction among convergent speed , trace speed of the time-varying system and convergent accuracy .

以实时拟合时间序列的线性AR模型作为时变系统的已知线性部分，将拟合误差作为时变系统的未知输入，实现了对非线性时间序列的一步预测。

An AR model is used to approximate the linear part of the time series ; the nonlinear part and the approximate error are regarded as the unknown-input of system .

针对常规PID控制器不能满足非线性、时变系统的控制要求的问题，本文将自适应控制思想与PID控制器相结合，合成一种自适应PID控制解决方案，并设计了一个自适应PID控制器。

In view of the problem that routine PID controllers can not satisfy the control requirements for nonlinear time-variant systems , the adaptive control is used in PID controllers and a self-adaptive PID controller is synthesized .

在这一新的模型和性能指标的基础上，运用离散时变系统的H∞状态反馈控制理论，得到了证券组合投资的H∞状态反馈控制策略。

Based on the new model and the performable index , the H_ ∞ control theory with state feedback for time-varying discrete systems was applied , and a strategy of H_ ∞ control with state feedback for portfolio investment was also given .

文中利用Matlab对不同的控制算法进行了仿真实验，发现基本PID控制最大的缺点就是控制器参数不能随被控对象的改变而改变，因此不能满足在高精度控制领域中时变系统的控制精度要求；

By the Matlab simulation , the main disadvantage of the PID arithmetic is found , which is the parameter of PID controller can not adapt the variety of object . So the control precision is limited when the object is time-variational .

FA467粗纱机控制系统属于大惯量、非线性时变系统，采用传统的PID和通常的自适应控制都不能满足本系统的要求。

FA467 roving frame control system is a large inertia and nonlinear system , traditional PID and self-adaption control method can not satisfy the need of this system .

本文利用Walsh级数提出了延时时变系统线性伺服机构的设计方法，给出了计算其最优状态向量和最优控制的具体方法。

In this paper , an effective approach to design the linear servomechanism of multivariable time-variant systems with time-delay in state and control is presented . By using Walsh series , the algorithm for optimal control is proposed .

基于线性差分式Hopfield网络稳定性与其能量函数收敛特性的关系，本文将该网络用于求解多变量时变系统的线性二次型最优控制问题。

On the basis of the relation between the stability of the linear difference Hopfield network and its energy function 's convergence , the linear Hopfield network is applied to solve linear quadratic optimization control problems for multivariable time-varying systems .

同时把Runge-Kutta数值方法引入到该时变系统的演变随机均方响应计算中来，通过实例验证了该方法的有效性和简便性。

Based on the unified approach to the evolutionary random response problem , suggested by the authors previously , either the random response or the deterministic response in the coupled vehicle and bridge can obtained effectively by Runge-Kutta method .

扩展卡尔曼滤波（EKF）是从极小化状态估计误差的方差得到的，没有考虑状态误差的变化率，因而对非线性时变系统EKF估计方法惯性作用较大，从而产生估计滞后。

Extended Kalman Filtering ( EKF ) was derived from minimizing variance of state estimation error . Not considering its rate of change , EKF method has large inertia for nonlinear time-varing systems and resulted in estimation lag .

仍然使用上述方法再加上Liapunov函数及内积等技巧，研究了非线性时变系统对部分变元的稳定性、渐近稳定性、指数稳定性，推广了第一部分结果。

Using techniques of Liapunov functions and inner products , we extend the approach and the results in Part I and give criterion on the stability , asymptotic stability and exponential stability with respect to partial variables for time-varying nonlinear systems .

由于滑模控制方法对系统的参数不确定性以及干扰具有很强的鲁棒性，针对TCP/IP网络这种复杂的时变系统，给出了基于滑模控制理论的AQM控制器的设计，并对其进行了稳定性分析。

For sliding mode control possesses the robustness to uncertainty and disturbance , which is suitable for complex time-varying TCP / IP network system , an AQM controller based on sliding mode control theory is proposed , and the stability analysis is given .

然后，证明GPS/SINS组合导航系统满足PWCS分析定理要求，并进一步提出改进的线性时变系统状态的可观测度分析方法，以适用于分析全弹道过程系统状态的可观测度。

And then the integrated GPS / SINS navigation system can be demonstrated to meet the law of PWCS analysis method . In order to analyze the observable degrees of linear varying-time system states along a whole trajectory , the modified analysis method will be presented further .

利用基序列逼近的一类非线性时变系统辨识的实用方法

A Practical Method for Identification Nonlinear Time-Varying Systems Using Basis Sequences

基于小波分解的时变系统辨识方法研究

Research on identification method of time-varying system based on wavelet expansion

一般广义周期时变系统的允许性分析

Analysis of admissibility for general periodically time - varying descriptor systems

在线调节加权因子的快时变系统自校正控制

Self-Tuning Control of Fast Time-Varying System with On-Line Adjusted Weighting Factor

研究了广义周期时变系统的允许性问题。

This study concerns admissibility problems for periodically time-varying descriptor systems .