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	Construction of Three-dimensional Simulation Platform for Linear Inverted Pendulum Base on Model 会议论文 OAI收割 Shenzhen, China, January 21-22, 2018 作者: Zeng P(曾鹏); Zhang HL(张华良); Chen, Xiyou; Zhang T(张涛); Liu, Guanghui \| 收藏 \| 浏览/下载：35/0 \| 提交时间：2018/12/25 Linear inverted pendulum Code automatically generated Open Scene Graph(OSG)
	A generic walking pattern generation method for humanoid robot walking on the slopes 期刊论文 OAI收割 INDUSTRIAL ROBOT-AN INTERNATIONAL JOURNAL, 2016, 卷号: 43, 期号: 3, 页码: 317-327 作者: Guo, Fayong; Mei, Tao; Ceccarelli, Marco; Zhao, Ziyi; Li, Tao \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2016/12/15 Asymmetric Linear Inverted Pendulum Humanoid Robot Walking On Slopes Walking Pattern Generation
	A fuzzy control method based on information integration for double inverted pendulum (EI CONFERENCE) 会议论文 OAI收割 2011 2nd International Conference on Digital Manufacturing and Automation, ICDMA 2011, August 5, 2011 - August 7, 2011, Zhangjiajie, Hunan, China 作者: Fan Y. 收藏 \| 浏览/下载：59/0 \| 提交时间：2013/03/25 This article proposes a new fuzzy controller based on information integration. The mathematical model of Linear double inverted pendulum has been studied and estabLished with dynamics analytical method and LQR theory is used to design the optimal Linear inverted pendulum controller then the integration technology is used to design the variable parameters self-tuning fuzzy controller. Thereby the fuzzy controller input variable dimension and the number of fuzzy control rules have been extremely reduced. Two controllers are designed for inverted pendulum system control and the comparison simulation experiments have been done. The results show that the controllers can both reaLize good control and the fuzzy controller has higher precision faster response better stabiLity and robustness. 2011 IEEE.
	The research of nonlinear control based on fuzzy neural network (EI CONFERENCE) 会议论文 OAI收割 International Conference on Electrical and Control Engineering, ICECE 2010, June 26, 2010 - June 28, 2010, Wuhan, China Fan Y.-Y.; Sang Y.-J. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 This paper discussed and researched the structure and algorithm of fuzzy neural network controller based on the character of fuzzy logic and neural network theory. For the nonlinear system characteristics of uncertainty high order and hysteresis this paper used the fuzzy neural network technology to control nonlinear system and improved the control quality obviously. Take the single inverted pendulum for example the paper constructed the nonlinear mathematicmodel realized the control with the method of the adaptive fuzzy neural network and compared with control method of liner quadratic regulator the simulation results indicate that the method of adaptive fuzzy neural network can realize the stabilization of control better without the linear model of system and has a higher robustness. 2010 IEEE.