单变量系统
- 网络single variable system;SISO
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仿真研究证明,本文提出的自适应预测控制算法不仅适用于单变量系统,也适用于多变量系统。
Simulation research show that the improved adaptive predictive control algorithm isnot only effective for the SISO systems but also effective for the MIMO systems .
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通过解耦灵敏度函数,使多变量系统的设计问题转化为若干个单变量系统设计问题。
By decoupling the sensitivity function , a multivariable system design problem can be transformed into one with several SISO problems .
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提出了一种基于动态BP算法的对角回归网络解耦控制策略,利用神经网络实现前馈补偿,使补偿以后的系统实现解耦,且解耦单变量系统具有原对象主通道的特性。
Diagonal Recurrent neural network decoupling control strategy based on dynamic BP arithmetic is presented and used to realize feedforward compensation decoupling . The decoupling single variable system has the characteristics of main channel of the plant .
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单变量系统样条插值微分模型预测法
Spline Interpolation Differential Model Prediction Method for One Variable System
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单变量系统内模原理的频域方法
The frequency methods of internal model principleof single variable systems
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线性定常单变量系统稳态输出的可控性问题
Steady-state Output Controllability of Linear Time-invariant SISO Systems
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从预测函数控制方法的基本原理出发,详细地介绍了基于状态空间描述的单变量系统预测函数控制方法的原理和具体算法;
Based on the general principles , the detailed state space PFC algorithm for SISO systems is discussed in Chapter Two .
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多变量系统模型种类繁多,辨识方法远比单变量系统辨识要复杂。
Since there are many kinds of multivariable systems , and the identification process are much more complex than the single-variable systems .
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与单变量系统相比,由于输入变量和输出变量之间的耦合,多变量系统更难控制。
Compared with the single-input single-output systems , multivariable systems are more difficult to control due to interactions among input and output variables .
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通过使用多维逆M序列,将多变量系统参数辨识简化为各通道对应的单变量系统参数辨识。
By the series , parametric identification of multi input and multi output systems is simplified to that of single input and single output systems .
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针对单调阶跃响应的单变量系统,提出一种基于简化模型的自适应预测控制算法。
In this paper , an adaptive predictive control algorithm based on a simplified model is proposed for a stable system with monotone step response .
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本文由于采用了解耦设计、分散优化的设计思想,使多变量系统的综合设计转化为多个单变量系统的独立设计,因而运算简单,便于推广与应用。
Because of the adoption of decoupling design and dispersive optimization here , synthetical design of a multi-variable system is converted to separate design of a few single-variable systems .
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现有给水泵系统都采用单变量系统进行控制,但该系统本质上是多变量系统,用单变量方法解决多变量问题给系统安全经济运行带来隐患。
The feed pump system is controlled by single loop control theory , but it is truly multivariable system , so feed pump control system in use exist problems about safety and efficiency .
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对建立的双变量耦合控制系统,通过前馈补偿解耦器消除输入与输出之间的耦合关系,将多变量系统拆解成两个单变量系统。
For the two variable coupling control system , the feed-forward compensator is designed to decouple the coupling relation between the input and output . Then the two variable coupling system is decomposed to two single variable system .
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本文简要介绍智能型单变量控制系统CAD和现场调试装置。
The paper introduces the device of intelligent control system CAD and experiment on site .
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基于单变量V系统的图像签名方法在引入密钥图像的基础上对图像做V变换,取低频系数作为图像的特征进行量化压缩后生成签名。
By means of a key image , the image signature technology based on single variable V system extracted low frequency coefficients of V transformated image as its feature to generate signature .
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一个单变量线性系统实用辨识程序的编制
A Practical Programming Approach to the Identification of Single-Input / Single-Output Linear Systems
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单变量控制系统的智能设计
[ Methods ] Divide 60 patients with cough variant asthma into two groups by randomly . Intelligent Design to the SISO Systems
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介绍非线性系统控制的逆系统方法及相应的单变量非线性系统的控制理论。
An Inverse System Method is introduced for nonlinear systems control , and the design theory for single variable nonlinear control systems is described .
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介绍了时滞系统的优化方法,已基本解决了单变量时滞系统的优化控制问题。
The paper introduces the optimized method of time delay system , has basically solved the optimized the control problem of single variable time delay system .
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本文论述单变量非线性系统基于I/O扩展线性化的预测控制算法,这是一种多层的控制策略。
This paper deals with the predictive control algorithm for SISO nonlinear systems based on I / O extended linearization . It is the tactic of multi-layer control .
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介绍一种用于单变量控制系统的智能设计方法,该方法能兼顾控制系统的性能和控制器的简单性两方面要求。
An intelligent design method to the SISO systems is introduced . This method can give consideration to both the performance of the control system and the simplicity of the controller .
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本文对扰动时变的单变量控制系统性能评价方法进行了深入地分析和研究,它的主要思想是根据系统的输出,检测出扰动的变化,对扰动进行分段处理后再进行评价。
Based on single variable disturbance time-varying system performance evaluation methods for the thorough analysis and research , and its main idea is according to the output of time-varying system disturbance , the detection of the disturbance , disturbance conducted after evaluation .
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单纯经济型作业模式以发动机在整个工作范围内的最低燃油消耗率点为目标工作点,油门开度不变,仅控制变速器传动比,为单变量控制系统;
The former takes the minimum fuel consumption rate point in the whole engine operating range as the target , the throttle opening keeps constant , the gear ratio of CVT is adjusted by the controller which is a single parameter control system .
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单变量线性控制系统中H∞熵的信息论意义
Information theoretic interpretation for H_ ∞ entropy in SISO linear control systems
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单变量非线性控制系统可生存域
Viability for nonlinear control system in one-dimensional space
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将作者提出的单变量时变系统的算法推广到多变量情形,得到了多变量时变参数系统的自适应控制,同时讨论了算法的收敛性。
The adaptive control scheme of a time-varying system is studied and extended to the case of multivariable time-varying system in this paper . Convergence of the algorithm is discussed .
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此方法可为建立简单而有效的单变量故障诊断系统提供理论依据。
The results showed that for both single and multiple faults , PSR afforded a remarkable improvement in the performence of SVM for single variable based fault diagnosis in chemical processes .
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分析表明此混沌同步化方案可以抵抗噪声的干扰,并且在两系统出现偏差时仍可以实现混沌同步,找到了实用的单变量延时微分系统非Pecora-Carrol规则的混沌同步化方案。
Numerical results show that this scheme of chaos synchronization resists noise and the synchronization can be realized even if the two systems are not identical . A practical method-non Pecora Carroll ′ s scheme-of chaotic synchronization is given for delayed differential system with a single variable .
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以频率特性分析法为理论基础,研究了利用Excel中的单变量求解法进行系统串联校正的计算方法与步骤。
Based on the theory of frequency characteristic analysis of autocontrol system , the method and step of tandem connection correction were studied by using the tool of univariate soling in Excel .