在工业生产中，温度、流量、转速都是常用的主要被控参数。
During the industry production, the temperature flow and the rotate speed are usually the most important controlled arguments.
研究方法：采用两级模糊控制器，分别控制风量和风温两个被控参数。
Research methods:This paper uses two levels fuzzy controllers to respectively control two parameters of air volume and air temperature.
在工业消费中，电流、电压、温度、压力和流量也都是常用的被控参数。
In industrial production, current, voltage, temperature, pressure and flow rate are also charged with common parameters.
温度是工业对象中的一个重要的被控参数，然而所采用的测温元件和测量方法不同。
Temperature is an important parameter in the industrial object, different temperature sensor and measuring method but the.
本文对工业对象中主要的被控参数电阻炉炉温进行研究，设计了硬件电路和软件程序。
In this paper, we study the temperature of resistor-furnace which is a main controlled parameter in the industrial object, and hardware and software are designed.
当被控对象的特性发生变化时，可对混合神经网络权值及时进行修正并调整控制器参数使控制系统始终保持良好的控制性能。
The control system can adjust the weights of hybrid neural network and the parameters of controller timely to keep good control performance when the character of controlled plant varies.
通过继电反馈辨识方法获得被控对象模型参数。
The model parameters of controlled objects were obtained with relay feedback identification method.
依据测量模块的检测与诊断信息，数据处理模块得知被控对象的结构与参数变化并实施相应控制措施。
The change parameters and structure of controlled objects was got form data process module, and then took correspondent measures according to the examination and diagnosis information.
在系统精确模型参数未知的情况下，神经网络逆系统可将被控系统解耦成两个SISO线性子系统；
Without knowing the precise system model and parameters, the ANN inverse can decouple the controlled system into two SISO linear systems.
该控制器用具有改进学习算法的神经网络作pid参数调节器，用模糊神经网络对被控对象进行模型辨识。
In this controller, an improved study algorithm is adopted as the PID parameter regulator, and a fuzzy network is employed to identify the controlled objects.
以线性大时滞不确定被控对象为参考模型综合出自适应律，使预估补偿器的参数逐步逼近被控对象的参数直至相等。
The uncertain object with dead time is taken as a reference model and a kind of adaptive rule is proposed to make parameters of the compensator to approach the object's.
它通过构造伪输出辨识被控对象参数，引进反馈误差，实现对解耦神经网络的在线训练。
It can identify the parameters of a controlled object by forming a fake output and bring in a feedback error for performing an on-line training to decouple the neural network.
基于概率鲁棒方法，针对具有实参数不确定性的多输入多输出被控对象，提出一种分散PID控制器设计方法。
A tuning method for decentralized PID controllers was developed based on probabilistic robustness for use in multi-input-multi-output plants with varying parameters.
基于对被控对象传递函数的估计，提出一种闭环pid参数整定方法。
Based on the estimation of a controlled plant's transfer function model, a method for the self-tuning of PID controllers in closed-loop system is proposed.
掌握被控对象特性是确定最佳控制参数、设计合理系统的基础。
Grasping the characteristics of controlled object is the basis to determine the optimal control parameters, well-designed system.
通过分析被控对象的特性，采用分段线性化的方法设计变参数PID控制器，进而给出基于T-S模型的模糊PID控制策略；
Variable parameter PID control for the controlled object is designed by the method of segment linearization. Furthermore, T-S model based fuzzy PID control strategy is put forward.
对含有有界扰动和参数不确定性的离散时间被控对象建立多个辨识模型，覆盖被控对象的参数不确定性。
Multiple models were set up to cover the parameter uncertainty of a discrete time system with bounded disturbance and uncertain parameters.
本文提出了一个克服时变大时滞及被控过程参数时变的最优预报自校正PID控制算法。
An algorithm of the optimal prediction self-tuning PID controller that overcomes time-varying large lag and parameters is presented in this paper.
通过在线辨识被控对象，采用二次型性能准则优化PID参数。
This method can optimize the PID parameters by using the quadratic performance index and identifying the controlled object parameters on line.
只需设计一组控制器参数，就可具有较强的适应被控对象参数变化的能力。
The proposed controllers have a strong adaptive characteristic to varying parameters without switching controllers compared with the additional method.
它能建立不同被控对象模型，且其对象特性参数可自选，从而可为各种控制器和控制算法实现闭环控制仿真提供被控对象。
It offers control objects for close loop simulations of different controllers and control algorithms with a wide choice of object models and parameters.
仿真结果表明：这种控制方法不仅对被控对象含有的非线性环节，以及被控对象参数在较大范围内的变化具有较好的适应能力。
According to its simulation results, this method has good adaptability when the controlled member contains non-linear elements or the controller member varies in a large range.
采用这种方法，无需了解被控对象的参数，因而十分方便。
It is very convenient to use, and it is not necessary for us to know the system parameters.
采用衰减曲线法对被控对象进行PID参数整定，以达到最佳的控制状态。
PID parameter tuning is performed based on attenuation curve to achieve the best control state.
炼钢生产中，定氧加铝工艺的被控对象具有参数分布、非线性、动态观测数据离散等特征，定氧加铝模型的建立是该工艺的核心。
In the process of steel-making, killing oxygen by adding aluminum process is a controlled object whose parameters are distributed and non-linear, and its observed data are discrete.
以参数时变时滞后过程为被控对象，仿真研究了本文设计的控制器性能。
Test the performance of controller designed in this paper, by doing simulation experiments with the first order inertia plant having the pure lag and time-variation parameters.
这一控制方法的优点是不需要获取时空混沌系统中不稳定周期轨道的任何信息，且控制参数与被控系统的参数和变量的取值无关。
The advantage of this method is that it does not need to know any information about the UPOs embeded in spatiotemporal chaotic system.
针对不存在丢包和存在丢包的情况，通过由采样周期、被控对象与模型参数构造的稳定性判别矩阵给出了使网络控制系统渐近稳定的充分条件。
By constructing a test matrix in terms of the sampling period, the plant controlled and the model parameters, we give a sufficient condition to test the asymptotic stability for the system.
这一控制方法不需要获取时空混沌系统中不稳定周期轨道的任何信息 ，控制参数的选择与被控的时空混沌系统的参数和方程无关。
This method does not need to know any information about UPO embedded in strange STC attractor. The choice of control parameter is independent of parameter and equ…
这一控制方法不需要获取时空混沌系统中不稳定周期轨道的任何信息 ，控制参数的选择与被控的时空混沌系统的参数和方程无关。
This method does not need to know any information about UPO embedded in strange STC attractor. The choice of control parameter is independent of parameter and equ…
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