Description: This paper addresses the issues relating to the
enforcement of robust stability when implementing the Adaptive
Inverse Control (AIC) scheme. In this scheme, an adaptive
FIR filter is added to a closed-loop system in order to
reduce the output error caused by external disturbances,
enhancing the performance achieved by linear time-invariant
controllers alone. Platform: |
Size: 422489 |
Author:rifer |
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Description: This paper addresses the issues relating to the
enforcement of robust stability when implementing the Adaptive
Inverse Control (AIC) scheme. In this scheme, an adaptive
FIR filter is added to a closed-loop system in order to
reduce the output error caused by external disturbances,
enhancing the performance achieved by linear time-invariant
controllers alone.-This paper addresses the issues relating to theenforcement of robust stability when implementing the AdaptiveInverse Control (AIC) scheme. In this scheme, an adaptiveFIR filter is added to a closed-loop system in order toreduce the output error caused by external disturbances, enhancing the performance achieved by linear time-invariantcontrollers alone. Platform: |
Size: 421888 |
Author:rifer |
Hits:
Description: RBF神经网络对非线性系统进行逼近,运行成功,还有不足之处请多多指教-RBFNN right nonlinear system is approaching, the successful operation, there are deficiencies Department asked for more information Platform: |
Size: 1024 |
Author:李明峰 |
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Description: ：运用动力学原理建立了小车-倒摆的仿真模型, 并以对象输入输出的测试数据为依据，讨
论了Takagi-Sugeno 模糊模型的参数辨识，提出了模糊逆模型控制方案，基于此借助Matlab 的
Simulink 设计了小车-倒摆的动态模型及其模糊自适应控制系统。仿真结果证明了本文采用的控制
策略的有效性。-: The use of dynamic theory to establish a car- inverted pendulum simulation model and the object input and output test data as the basis to discuss the Takagi-Sugeno fuzzy model parameter identification, the fuzzy inverse model control scheme, based on the use of Matlab Simulink design of the car- inverted pendulum dynamic model and the fuzzy adaptive control system. Simulation results show this paper, the effectiveness of the control strategy. Platform: |
Size: 247808 |
Author:daizhk |
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Description: 基于神经网络在线辨识的自适应逆振动控制技术。可以有效地应用到非线性系统的控制。-Line identification based on neural network adaptive inverse vibration control technology. Can be effectively applied to nonlinear system control. Platform: |
Size: 14336 |
Author:罗波 |
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Description: 自适应逆控制的MATLAB m文件 很有用自适应逆控制的程序-Adaptive inverse control of MATLAB m file is very useful adaptive inverse control program Platform: |
Size: 2048 |
Author:suyun |
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Description: IDW距离反比加权方法，阵列信号处理的高分辨率估计，通过matlab代码，一些自适应信号处理的算法，双向PCS控制仿真，是信号处理的基础。-IDW inverse distance weighting method, High-resolution array signal processing estimates, By matlab code, Some adaptive signal processing algorithms, Two-way PCS control simulation, Is the basis of the signal processing. Platform: |
Size: 5120 |
Author:ceugkd |
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Description: 采用D-H法建立了多自由度机械臂末端执行器相对于基础坐标系的位置与姿态，即多自由度机械臂的正运动学模型。其次对多自由度机械臂的逆运动学模型进行了分析。最后通过采用Langrange法对多自由度机械臂的动力学进行了建模，并对多自由度机械臂的动力学模型及其特点进行了分析。 针对多自由度机械臂数学模型的不确定性问题，提出一种基于RBF神经网络的机械臂自适应控制方法。(The position and attitude of the end effector of the multi DOF Manipulator relative to the basic coordinate system is established by using the D-H method, that is, the forward kinematics model of the multi DOF Manipulator. Secondly, the inverse kinematics model of multi DOF Manipulator is analyzed. In the end, the dynamics model of the multi degree of freedom manipulator is established by using the Langrange method, and the dynamics model and characteristics of the multi degree of freedom manipulator are analyzed. Aiming at the uncertainty of the mathematical model of the multi degree of freedom manipulator, an adaptive control method based on RBF neural network is proposed.) Platform: |
Size: 31744 |
Author:又又ya |
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