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.
常规PID控制易于建立线性温度控制系统被控对象模型。
Routine PID control was easy to establish linear temperature controlled object model.
提出了在网络传输信号的时间间隔内依据被控对象模型计算控制信号的开环控制方法，以减少对网络的使用。
The open-loop control method of computing control signal based on plant model at intervals of state signal through network is proposed for reducing the usage of the network.
该文设计了全维非线性未知输入观测器，实现检测滤波器对于被控对象模型误差和系统不确定性因素的干扰解耦。
This paper realizes disturbance de-coupled with model error and system uncertainty by using a combination of full-order nonlinear unknown input observer and fault detection filter.
本文通过对被控对象模型的传递函数并行结构分解，引入多重输出误差反馈，并根据内模结构来设计系统控制器。
In this paper, multiple output error feedbacks are introduced via the parallel decomposition of the plant transfer function in the internal model control system.
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.
对被控对象模型中的不确定性进行了，针对设计中主要考虑的输入延时和高频未建模动态，建立了非结构化乘性不确定性模型。
The uncertainty of the controlled object modeling was analyzed. As for the time delay and high frequency no modeling considered in design, the uncertainty modeling of non structure was found.
针对当前城市交通系统中的被控对象具有较大的随机性和偶然性，引入了不需要建立精确数学模型的模糊控制。
This design USES fuzzy control theory which doesn't require exact mathematical model because of the randomness of the controlled objects in the current city traffic control system.
采用支持向量回归在线辨识算法作为建模方法建立被控对象的逆模型。
Online identification algorithm of support vector regression is used to build the inverse model for the plant.
掌握被控对象的数学模型和建模后控制系统的设计，是过程控制系统分析、设计、调试和获得较高控制品质的基础和关键。
The math model and control system design after modeling are the base and key point to process control system analyses, design, debug and obtain the higher control quality.
神经网络控制是非线性控制的一个分支，它基本上不依赖于系统的数学模型，比较适合于具有不确定性和高度非线性的被控对象。
Neural Networks, an embranchment of nonlinear control which does not dependent on mathematic model, is adapt to controlled systems of uncertainties and highly nonlinear.
该控制器由等效扰动信号、被控对象、对象模型、内模控制器、反馈滤波器及参考输入滤波器组成。
The PID controller is composed of the equivalent interference signal, the controlled objects, the object model, IMC, feedback filter and reference input filter.
在辨识被控对象的脉冲响应模型时，现有算法是建立在其脉冲响应序列长度不变的基础上。
Present algorithm treats the length of impulse response sequence constant when identifying the model of object.
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.
模糊控制不需建立被控对象的精确数学模型，特别适用于具有较大随机性的城市交通控制。
It is not necessary for fuzzy control to built exact mathematic model about the controlled object, so fuzzy control is applicable especially to control urban traffic with great random characteristic.
但无论是经典控制理论还是现代控制理论，都需要事先知道被控对象的数学模型。
But whether classical control theory or modern control theory need to know the mathematical model of the controlled plant.
由于九点控制策略简单，不需建立被控对象的精确数学模型。
Because Nine-Point controller strategies are simple, does not have to establish is controlled the object the precise mathematical model.
传统控制理论都是基于被控对象精确模型的基础上的。
Traditional control theory is based on the accurate model of the controlled objects.
自主避障算法是避障功能的灵魂所在，传统的控制算法通常依赖于被控对象精确的数学模型和完整全面的环境信息。
Effective algorithm is the core of this ability. Traditional control algorithms always rely on accurate mathematical models of the controlled object and integrity environment information.
自适应逆控制需要很少的先验知识，不需要知道被控对象的数学模型，就可以设计出性能良好的自适应逆控制系统。
Adaptive inverse control can be used to design well-performed adaptive inverse control system with little prior experience and without knowing the mathematic model of the controlled device.
船舶缩尺模型是物理基础，也是被控对象，它在一定程度上可以反映出其原型的运动特点；
The scale model ship is the controlled object and physical basis, and it reflects the movement characteristics of the prototype in some way.
仿真结果表明，在没有被控对象先验知识的情况下，利用该方法能准确地建立连续非线性系统的逆模型。
Simulation results show that the presented method can accurately construct the inverse dynamic model of the continuous nonlinear system even without prior knowledge about the controlled plant.
模糊控制器以其结构简单、鲁棒性强、不需要被控对象的数学模型及粗调快速等优点被广泛应用于工业控制系统。
Fuzzy controller is widely used in industrial control system for its robustness, relatively simple structure, quicker response and unnecessary for explicit mathematical model of the controlled object.
首先，根据被控对象传递函数和灵敏度分析，简化被控对象逆模型。
Firstly, according to analyzing both the transfer function of the object and the sensitivity, the inverse model of the object is simplified.
针对执行器的工作方式推导了线性被控对象在时间驱动方式下和在事件驱动方式下的离散时间模型。
According to the working modes of actuators, a linear control object is converted into time-driven and event-driven discrete time models.
首先，用具有RBF核函数的LS-SVM离线建立被控对象的非线性模型；
The nonlinear offline model of the controlled plant is built by LS-SVM with the radial basis function (RBF) kernel.
传统的基于模型的控制方式，是根据被控对象的数学模型及控制性能指标来设计控制器。
Traditional type of control needs mathematics model about controlled objects and designs controller based on performance indexes.
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.
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.
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