Description: 对倒立摆系统采用非线性控制方法进行研究的仿真实验结果，取得了预期的效果，程序运行正确。-right inverted pendulum system uses nonlinear control methods to conduct studies on the experimental results, and achieved the desired results, procedures correctly. Platform: |
Size: 3945 |
Author:gaoxinghua |
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Description: 基于一级倒立摆实物控制代码，整个程序还没有在实物测试，希望高手给指点一下。-based on an inverted pendulum control code in kind, the whole process has not been tested in the physical, hoping to master this kind. Platform: |
Size: 189440 |
Author:qi |
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Description: 对倒立摆系统采用非线性控制方法进行研究的仿真实验结果，取得了预期的效果，程序运行正确。-right inverted pendulum system uses nonlinear control methods to conduct studies on the experimental results, and achieved the desired results, procedures correctly. Platform: |
Size: 4096 |
Author:gaoxinghua |
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Description: 续上一个程序的控制算法代码，非线性滑模变结构控制方法的程序，调试运行正确。-continuation of a process control algorithm code, nonlinear SMVSC control procedures, debugging and running correctly. Platform: |
Size: 3072 |
Author:gaoxinghua |
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Description: 本文对基于非线性控制方法的倒立摆系统控制进行了系统的研究-In this paper, control methods based on nonlinear inverted pendulum control system research Platform: |
Size: 238592 |
Author:陆振华 |
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Description: 針對一级非線性倒力摆的模糊监督控制应用在系統含有不確定性-Force for a nonlinear inverted pendulum fuzzy supervisory control applications in the system uncertainties Platform: |
Size: 7168 |
Author:盧安 |
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Description: 倒立摆是一种复杂、时变、非线性、强耦合、自然不稳定的高阶系统，许多抽象的控制理论概念都可以通过倒立摆实验直观的表现出来。基于人工神经网络BP算法的倒立摆小车实验仿真训练模型，其倒立摆BP网络为4输入3层结构。输入层分别为小车的位移和速度、摆杆偏离铅垂线的角度和角速度。隐含层单元数16个。输出层设置为1个输出单元。输入层采用Tansig函数，隐含层采用Logsig函数，输出层采用Purelin函数。用Matlab 6.5数值计算软件对模型进行学习训练，并与线性反馈控制逻辑算法对比，表明倒立摆控制BP算法精度高、收敛快，在非线性控制、鲁棒控制等领域具有良好的应用前景。 -Inverted pendulum is a complex, time-varying, nonlinear, strong coupling, the natural instability of the high-end systems, many of the abstract concept of control theory to pass through the inverted pendulum experiment demonstrated intuitive. Based on artificial neural network BP algorithm inverted pendulum experiment simulation training model car, the Inverted Pendulum BP network input 3-layer structure of 4. Input layer, respectively, for the car s displacement and speed of deviation from the plumb line placed under the angle and angular velocity. Hidden layer unit number 16. Output layer is set to an output unit. Tansig function using input layer, hidden layer Logsig function used, the output layer Purelin function. Numerical calculation using Matlab 6.5 software for learning and training model, and linear feedback control logic algorithm comparison, show that the inverted pendulum control of BP algorithm and high precision, fast convergence in nonlinear control, robust control and Platform: |
Size: 217088 |
Author:月到风来AA |
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Description: 本文引入了基于扩展线性化的非线性反馈控制方法,推导了非线性状态反馈控制器的设计,并通过对单级倒立摆理想模型
的仿真过程中反映出该方法更接近系统实际情况的控制策略。-In this paper, based on the introduction of linear expansion of the nonlinear feedback control method, derived non-linear state feedback controller design, and through single-stage inverted pendulum on an ideal simulation model reflects the approach closer to the actual situation in the system the control strategy. Platform: |
Size: 216064 |
Author:月到风来AA |
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Description: 二级倒立摆的非线性部分采用S函数实现，此为S函数实现的源代码-The nonlinear part of the double inverted pendulum using S functions to achieve, this is the S function, the source code Platform: |
Size: 1024 |
Author:章颖 |
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Description: 三级倒立摆的非线性部分采用S函数实现，此为S函数实现的源代码-The nonlinear part of the triple inverted pendulum using S functions to achieve, this is the S function, the source code Platform: |
Size: 1024 |
Author:章颖 |
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Description: 基于非线性理论控制的一级倒立摆，在实物上运行可行-Based on nonlinear theory of an inverted pendulum control, running in the physical feasibility Platform: |
Size: 39936 |
Author:fuxiu |
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Description: ：针对能够采用仿射非线性表示的含有未建模动态的SISO非线性系统，讨论了一种基于神经网络的自适应
控制方法．该方法对受控对象的已知部分．采用反馈线性化方法设计控制器，用神经网络在线补偿未建模动态及
外部干扰等引起的误差，从而实现自适应控制。对具有未建模动态的双车倒立摆设计了输出反馈自适应控制系
统．仿真表明该方法是有效的。 -A discussion is devoted to design neural network adaptive control scheme of the SISO (single
input and single output)nonlinear system with unmodeled dynamics．According to the known part of
the plant．feedback Iinearization method iS used to design the controller．The error resulted from the un～
modeled dynamics and the external disturbance is compensated by online neural network．The neural
networks are designed as a five layer fuzzy neural network and its construction is optimized by genetic al—
gorithms．It has been used to approtimate the nonlinear function of system and to compesate the error of
unmodeled dynamic．The design of neural network adaptive controller has better performances．The
method is verified by the digital simulation of tWO—·cart with inverted·-pendulum system and unmodeled
dynamics． Platform: |
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Author: |
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Description: 倒立摆Mtlab模糊控制器仿真，用拉格朗日方程建立二级倒立摆系统的非线性数学模型，在平衡点处对其线性化。-Inverted pendulum Mtlab simulation of the fuzzy controller, the double inverted pendulum system is set up by using the Lagrange equations of the nonlinear mathematical model of the balance of its linearization. Platform: |
Size: 1566720 |
Author:吕立军 |
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Description: 倒立摆系统的辩识和控制
（1） 程序Pmodel.m 描述问题 建立倒立摆系统的数学模型
（2） 程序N-Model.m 取得系统的行为状态样本
（3） 程序chp14_3.m 根据以上所得输入值Pm和目标值Tm构造一个神经网络，并根据所描述问题的行为状态样本对网络进行训练，调整网络的权值和阀值，使网络具有与系统同样的行为特性。
（4） 程序chp14_4.m 对系统与网络的行为特性进行测试与比较。-Identification and control of inverted pendulum system
Mathematical models (1) procedures Pmodel.m description of the problem to establish an inverted pendulum system
(2) program N-Model.m obtain sample behavior of the system status
(3) obtained according to the above procedures chp14_3.m the input value and the target value Tm Pm construct a neural network, and according to the description of the problem behavior state of samples to train the network, adjust the network weights and thresholds, the network has the system the same behavioral characteristics.
(4) Program chp14_4.m behavior characteristics of the system and the network to test and compare. Platform: |
Size: 27648 |
Author:m |
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Description: 倒立摆设计运用了滑膜控制以及PID控制算法以及非线性控制，simulink建立模型-Inverted pendulum control design and use of the synovial PID control algorithm and nonlinear control, simulink model Platform: |
Size: 90112 |
Author:谢洁 |
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Description: The Inverted Pendulum is one of the most important
classical problems of Control Engineering. The inverted
pendulum system is characterized as typical high –order,
multi-variable unstable nonlinear system. During its control
process, it can reflect many crucial questions in the control
theory and the research on the control technologies about the
inverted pendulum has great engineering value to the control
of the complex industrial object and it is of great significance
to the design of rockets as well.-The Inverted Pendulum is one of the most important classical problems of Control Engineering. The inverted pendulum system is characterized as typical high-order, multi-variable unstable nonlinear system. During its control process, it can reflect many crucial questions in the control theory and the research on the control technologies about the inverted pendulum has great engineering value to the control of the complex industrial object and it is of great significance to the design of rockets as well. Platform: |
Size: 315392 |
Author:谢洁 |
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