An inverse controller based on neural network for single inverted pendulum is proposed.
给出了单级倒立摆的一种神经网络逆模控制方案。
The balance control of the GIP100L single inverted pendulum experiment system was focused.
对GIP - 100 - L单轴倒立摆实验系统的平衡控制问题进行了研究。
A nonlinear sliding mode control method is presented for single inverted pendulum position tracking control.
针对倒立摆的位移控制，提出一种非线性滑模变结构控制方法。
Debugging and experiment of single inverted pendulum is accomplished, function of following and positioning was realized.
完成单级倒立摆系统的调试和实验，实现了倒立摆位置随动以及定位功能。
The RBF-ARX model is used to build the global model of the single inverted pendulum system for representing the nonlinear dynamics.
针对直线一级倒立摆控制系统的非线性特性，采用RBF-ARX模型对倒立摆系统的全局非线性动态特性进行建模。
Firstly, the simplified model of the single inverted pendulum system is analyzed, and then designed a digital optimal controller with integral function.
通过对单级倒立摆系统的简化模型分析，设计了带有积分环节的数字最优控制器。
The paper experimental object is a single inverted pendulum. It is shown from the simulation results that this method has good control effect, good steady accuracy and good interference rejection.
本文以一级倒立摆系统为实验对象，仿真实验结果表明：所提出的控制方法具有非常好的控制效果和稳定精度，抗干扰能力强。
The paper experimental object is a single inverted pendulum. It is shown from the simulation results that this method has good control effect, good steady accuracy and good interference rejection.
本文以一级倒立摆系统为实验对象，仿真实验结果表明：所提出的控制方法具有非常好的控制效果和稳定精度，抗干扰能力强。
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