Search - neural controller pendulum

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[AI-NN-PR] triplehandstandpendulum DL : 0: Date : 2025-12-18 Size : 11kb User : 清华
[AI-NN-PR] Double-Inverted-Pendulum DL : 0: 基于BP神经网络的二级倒立摆控制器选择小车的位移和速度及两个摆杆偏离铅锤线的角度和角速度为输入数据。并经训练可得到一个神经网络控制器。-The controller of the double inverted pendulum based on the BP neural network chooses displacement and speed of the car, the angle between the two pendulums bar and vertical line and angle speed as the input date. A BP network controller can then be got by training.
Date : 2025-12-18 Size : 1.32mb User : durongmao
[AI-NN-PR] Nonlinearly-Adaptive DL : 0: ：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．
Date : 2025-12-18 Size : 160kb User :