用线性自适应滤波器对非线性对象建模是不可行的。
It is infeasible to use linear adaptive filter to create nonlinear model.
研究一类一阶非线性对象的自抗扰控制器的设计与参数整定规则。
Design and adjusting rule of auto-disturbance-rejection controller are proposed for a class of first order nonlinear plants.
研究一类一阶非线性对象的自抗扰控制器的设计与参数整定规则。
According to the analysis of observing error of a secould order extended state observer, an empirical tuning rule is proposed based on theoretic deduction and simulations.
针对反馈线性化后的不确定非线性对象，提出了一种鲁棒自适应控制方法。
Based on the feedback linearized model, a robust adaptive control method is presented.
在使用神经网络完成非线性对象的模型和逆模型时，选择的训练方法很重要。
Choosing a training method is very important when using neural network to obtain the model and the inverse model of the nonlinear object.
仿真实验显示：该算法适用于非线性对象的控制，具有较好的鲁棒性和抗干扰能力。
It is shown in the simulations that the proposed control method is suitable for nonlinear plant and possesses satisfactory robust performance and disturbance rejection ability.
该算法以一组模糊规则作为非线性对象内部模型，一条模糊规则表示一个局部线性系统；
The control scheme adopts a group of fuzzy rule sets as internal model of the nonlinear plant, where a fuzzy rule set represents a local linear system.
PWM交流伺服系统是一个高阶非线性对象，本文把它简化处理为低阶变系数线性对象。
PWM AC servo motor is normally a nonlinear control object of high order. In this paper it is simplified as a linear object of low order with variable parameters.
这种方法不完全依赖于非线性对象的数学模型，因而为非线性系统的学习控制提供了一种有效的研究方法。
This novel learning control mechanism, which does not depend upon too much about the nonlinear system, gives an exciting alternative for studying nonlinear control system.
针对典型化工非线性对象连续搅拌槽反应器（CSTR） ，研究了基于反馈线性化的预测函数控制方法。
The strategy based global feedback linearization for nonlinear system is developed for continuous stirred tank reactor (CSTR).
当解耦器训练结束后，对于非线性对象采用单神经元自适应PID来进行控制，仿真结果表明，此控制方案效果较好。
After the success in decoupling, single neural cell self-adapting PID is adopted to control nonlinear object. The simulation results show that the control strategy gets better effects.
提出了一种使用神经网络作为非线性对象直接控制器的设计方法，该控制器由一个常规控制器和一个神经网络控制器组成。
In this paper, a direct controller for nonlinear plants using a neural network is presented. The controller is composed of an approximate controller and a neural network auxiliary controller.
将神经网络辨识、遗传算法全局优化和预测控制思想有机结合，提出了一种新型控制器，用于带约束的非线性对象的控制。
A constrained nonlinear control algorithm is proposed which combining neural networks identifying, GA optimizing and the idea of predictive control.
而间歇化学反应器是高度非线性对象，包括了所有批量过程控制的难点，涵盖了顺序控制、逻辑控制、回路控制的所有控制概念。
The batch reactor is high nonlinear process, includes all difficulties of batch process, involves the sequence control, logic control, loop control, etc.
该文提出了一种带优化修正函数的非线性PID控制器设计方法，用它设计的控制器能对复杂非线性对象进行简单而有效的控制。
In this paper, a new design method of nonlinear PID controller with optimal correction function is presented. It can solve the control problem of a complicated nonlinear plant simply and effectively.
以某厂羟胺反应器的氢离子浓度控制为例，介绍了径向基函数（RBF）神经网络在强非线性对象预测控制中的应用及仿真研究结果。
The application of RBF neural network in hardy nonlinear system and the result of simulation is introduced. An example of pH control in hydroxylamine reactor is described.
人工气候箱温湿度控制对象是一个非线性、强耦合和大滞后的系统，其控制非常困难。
Temperature and humidity control object of artificial climate chest is a nonlinear, strong coupling and long time delay system, so its control is difficult.
针对具有严重非线性的受控对象，提出了一种模糊-神经元控制方法。
In accordance with the seriously nonlinear controlled objects, a fuzzy-neuron control scheme is proposed.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
以斜支承弹簧系统为研究对象，建立了矩形脉冲激励下系统非线性动力学方程。
The nonlinear dynamical equations of inclined support spring system were obtained under the excitation of rectangular pulse.
火电厂锅炉过热蒸汽温度是一类典型的大迟延、大惯性、时变、非线性控制对象。
Boiler superheated steam temperature is a typical object with large delay, inertia, time-varying and nonlinearity.
针对电力系统的强非线性和不确定性的特点，直接对其非线性不确定对象设计了非线性状态PI励磁汽门协调控制器。
As for the strong nonlinear and uncertain characteristic of the power system, the nonlinear state PI coordinated controller of excitation and valve is proposed in this paper.
磁悬浮装置是典型的非线性系统，其模型随悬浮对象的变化而显著变化。
Magnetic Levitation system is typical nonlinear, and the parameters of system changes as the target changes.
论文结合增益调度控制方法、状态反馈控制理论和PID控制器设计方法，得到一些适用于非线性热工对象全工况运行的控制方案。
In this dissertation, some control schemes based on gain scheduled and state feedback control theory and PID controller were proposed to control the nonlinear parameter-varying thermal objects.
文中分析了基于线性滤波器的逆对象建模方法的优缺点，指出了非线性系统用这种方法的不足。
Firstly, analyzed the characteristic of inverse target's modeling method based on linear wave filter, which is quite successful for studying the linear system.
实验表明经在线学习补偿被控对象的非线性，使系统具有较强的自适应和鲁棒性。
The test result shows that online learning can make nonlinearity compensation for controlled object, so as to system has better self-adoption and robustness.
针对纺织染色这类具有典型非线性时滞的对象，利用肉模控制原理，设计了适用于染色过程的温度控制器。
The temperature controller is designed against the nonlinear delay object about textile dyeing by using the internal model control theory.
以三种常见的柔性铰链作为研究对象，对柔性铰链进行非线性分析。
This paper aims at three typical flexure hinges, and analyzes the nonlinearity of the flexure hinges.
本文针对船舶操纵这种非线性、时变参数控制对象，提出了一种采用神经网络自适应PID控制方案。
In this paper, according to nonlinear and time-varying parameter of ship maneuvering, the scheme of neural network adaptive PID control is proposed.
在丙烯精馏塔的控制中，由于被控对象的非线性特性，采用线性模型的模型预测控制器难以保持良好的控制性能。
It is difficult to keep favorable controlling performance of model predictive control (MPC) by linear model due to controlled plant nonlinearity in propylene rectifier.
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