本文主要研究时滞多变量系统的内模控制方法的设计，以期找到简单、有效、实用的方法。
This paper mainly studies internal model control designed for the multivariable time-delay system in order to find simple, effective and practical method.
通过对受控对象模型的并行结构分解，引入多重输出误差反馈，构成了一种新的内模控制结构。
A novel internal model control structure with multiple output error feedbacks is proposed in this paper, by means of multi model decomposition technique.
该算法直接利用对象辨识给出的离散模型，导出离散的内模控制器，直接用于工业生产的计算机控制。
The algorithm makes use of discrete model given by plant identification directly, deduces discrete internal model controller, and is used in computer control of industry manufacture directly.
并基于MATLAB仿真研究表明，线性时滞过程的内模控制具有较好的鲁棒性，有一定的应用价值。
Based on MATLAB, simulation results show that internal model control has simple structure and is easy to be designed and readjusted, so it has certain application value.
非线性动态系统的内模控制要求建立精确的对象正模型和逆模型，这对于大多数实际对象是难以做到。
In the internal model control design for nonlinear systems, the precise forward and inverse models of plant are required, but it is impossible in the majority of practical plants.
对于多变量非线性的对象，如何用简单实用的内模控制方法取得良好的控制效果，国内外至今仍在研究。
But employing the simple IMC method to solve multivariable nonlinear control problem haven't been researched in depth.
该文提出一种基于对角递归神经网络的内模控制系统，并以跳汰生产过程床层松散状况为对象进行了研究。
This paper proposes an internal model control system based on recurrent neural network, and considers jigger layer loose condition as research object.
针对具有此种情况的大纯滞后工业过程，提出了一种将内模控制与双口控制相结合的改进的内模控制器设计方法。
An internal model controller design for industrial process with dominant delay is proposed, it makes internal model control combine with double-port control and is a proved technique.
文中研究基于径向基(RBF)神经网络算法的内模控制策略在苯乙烯本体聚合反应相对分子质量分布控制领域的应用。
A nonlinear internal model control (IMC) strategy based on radial basis function (RBF) network models was proposed for bulk polymerization of styrene.
在大时变鲁棒数字PID控制方法的基础上，结合二自由度的内模控制结构，实现了控制器参数的数字双PID分离设计。
Separate designs of a dual PID controller were presented based on the large time-varying robust digital PID control combining with two degrees of freedom internal model control structure.
研究了专家PID控制、模糊自适应PID控制、基于RBF神经网络整定的PID控制、基于RBF神经网络的内模控制。
We study expert PID control, fuzzy adaptive PID control, RBF neural network PID control, internal control based on RBF neural networks.
所设计的多变量内模控制器能使系统稳定解耦，所得到的闭环系统根据开环系统时滞来描述。
All the stabilizing IMC controllers and the resulted closed-loop systems were characterized in terms of the open-loop system's time delays.
重复控制的基本思想是控制理论中的内模原理，根据上一周期的控制误差消除后面各周期性的信号误差。
The repetitive controller based on the theory of internal model produces correction signal based on the control error of the last cycle to eliminate the error in the latter cycle.
针对光电跟踪系统，提出一种基于内模控制原理的新型位置控制器设计方法。
A novel position controller for an electro-optical tracking system is designed based on Internal Model control (IMC) principle.
设计了室内模拟装置：在水池内放置排列的钢电极和可控制干扰电场。
A special device with arranged steel electrodes and controlled interferential electric field in water pool was designed.
该文针对这种情况，提出一种基于离散对象模型的数字内模控制(DIMC)算法。
For the fact given above, a digital internal model control (DIMC) algorithm based on discrete model is developed.
本文针对TCP网络系统的时滞特性，设计基于内模补偿控制器，提出了基于幅值与相位稳定裕度的控制参数整定方法。
The internal mode compensation controller is designed for the delay performance of TCP network system. The controller tuning method is presented based on the gain and phase margin.
仿真研究表明，只要恰当地选择神经网络正、逆模型的结构和辨识数据的长度等参数，实现加热炉神经网络内模自校正控制的结果是令人满意的。
Simulation shows that if chosen the appropriate ANN structure and training data quantity, its ANN internal model self-tuning control can be realized and the results can be acceptable.
从而在实验室构造了一套基于自适应内模控制技术的主动消声系统(anc)。
So an active noise cancellation (anc) system for helicopter cabin noise based on adaptive internal model control technique, is developed in laboratory.
大时滞过程的自整定pid控制器，采用基于内模控制策略的继电型PID自整定。
The relay feedback self-tuning PID based on internal model control (IMC) was adopted for self-tuning PID controller for long time-delay process.
文章研究了混沌动力学系统的神经网络内模控制策略。
This paper proposes a new control method of chaotic dynamical systems.
从IMC结构分析入手揭示了内模控制的本质，并在此基础上从鲁棒稳定性和鲁棒性能两个方面分析其鲁棒机理。
In this paper, the essential of IMC is presented based on structural analysis, on which the mechanisms of both robust stability and performance of IMC system are clarified.
针对多变量强耦合的被控系统，提出了一种简化的内模解耦控制设计方法。
In view of strong coupling system, a kind of simple internal model decoupling control designing method is presented.
该文采用一种新的全极点逼近法，设计基于内模原理的PID反馈控制，只需调整一个参数。
This paper using a new method of approaching the all-pole approximation, designing based on IMC-PID control just need adjusting one parameter.
提出了鲁棒的内模补偿控制器I-PIP。
Propose a robust PI controller with position internal feedback compensation (PIP).
通过对建筑结构的分析研究建立了预测模型，结合内模控制的理论设计了半主动控制系统的控制器、并分析了系统的稳定性。
We create Predictive Model by analyzing system of Semi-Active control. We design the controller of Semi-Active control system, research stability of system with Internal Model control (IMC) theory.
本文的研究内容是基于内模控制理论的CVCF - SPWM逆变器波形控制技术。
This paper discusses waveform correction technique of the CVCF-SPWM inverter based on internal model control theory.
把一种新的能在线估计时变时滞系统参数的辨识算法与内模控制相结合，提出了时变时滞系统自适应内模控制算法。
Combining a new parameter identification algorithm capable of online time varying delay prediction with internal model control, an adaptive IMC algorithm for time varying delay systems is proposed.
常规内模控制器具有克服时滞的优点，但是当被控对象与模型严重失配情况下，常规内模控制器的控制往往难以达到满意的效果。
The normal internal model control can get over the time delay of industrial process, but it cannot achieve a satisfactory performance during great mismatch of internal model with object model.
对于带有严重纯滞后的工业对象，目前的控制策略是史密斯预估控制，或者是内模控制，他们都要使用连续域的数学模型。
For an industrial plant with high great lag, the current control strategy is Smith predictive control, or internal model control, both of them are using continuous models.
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