The control of a double inverted pendulum by using hierarchical fuzzy neural network;
基于直线一级倒立摆系统完成了摆上舞蹈的实物控制。
Two methods of controlling a double inverted pendulum are presented: fuzzy logic control and hierarchical fuzzy control.
阐述了基于二级倒立摆的两种模糊控制方法，即模糊逻辑控制方法和分层模糊控制方法。
To demonstrate the effectiveness of the proposed method, an active fault tolerant controller is designed for a double inverted pendulum system with a fault in the motor tachometer loop.
为了验证所提出的主动容错策略的有效性，针对两级倒立摆系统中的电机测速回路故障问题，设计了主动容错控制器。
This paper build a model of hardware in the loop using MATLAB. The linear quadratic optimal control strategy is adopted to design a LQR controller of double inverted pendulum.
本文在MATLAB环境下建立了二级倒立摆的半物理实时仿真模型，并应用线性二次型最优控制策略，设计了一个二级倒立摆lQR控制器。
For the inverted pendulum system with multi-variable and nonlinear characteristic, a double closed-loop cascade fuzzy control approach was put forward based on Takagi-Sugeno fuzzy model.
在对火电厂过热汽温控制对象特点分析基础上，保留串级控制抗内扰的性能，结合模糊控制动态特性好的特点，提出了一种复合模糊串级控制设计。
For the inverted pendulum system with multi-variable and nonlinear characteristic, a double closed-loop cascade fuzzy control approach was put forward based on Takagi-Sugeno fuzzy model.
在对火电厂过热汽温控制对象特点分析基础上，保留串级控制抗内扰的性能，结合模糊控制动态特性好的特点，提出了一种复合模糊串级控制设计。
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