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	Designing Discrete Predictor-Based Controllers for Networked Control Systems with Time-varying Delays: Application to A Visual Servo Inverted Pendulum System 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 10, 页码: 1763-1777 作者: Yang Deng; Vincent Léchappé; Changda Zhang; Emmanuel Moulay; Dajun Du \| 收藏 \| 浏览/下载：40/0 \| 提交时间：2022/09/08 Discrete predictor-based control inverted pendulum system networked control system time-varying delay vision-based control
	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：93/0 \| 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：45/0 \| 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.
	基于专家系统的变步长一步预测控制与应用学位论文 OAI收割工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2003 朱江滨收藏 \| 浏览/下载：53/0 \| 提交时间：2015/09/02 倒立摆非线性欠驱动机构预测控制专家系统 Expert system Inverted pendulum Nonlinear Predictive control Under-actuated structure
	A new fuzzy controller for stabilization of parallel-type double inverted pendulum system 期刊论文 OAI收割 FUZZY SETS AND SYSTEMS, 2002, 卷号: 126, 期号: 1, 页码: 105-119 作者: Yi, JQ; Yubazaki, N; Hirota, K 收藏 \| 浏览/下载：42/0 \| 提交时间：2015/11/08 fuzzy control intelligent system inverted pendulum single input rule module (SIRM) stabilization
	Stabilization control of series-type double inverted pendulum systems using the SIRMs dynamically connected fuzzy inference model 期刊论文 OAI收割 ARTIFICIAL INTELLIGENCE IN ENGINEERING, 2001, 卷号: 15, 期号: 3, 页码: 297-308 作者: Yi, JQ; Yubazaki, N; Hirota, K 收藏 \| 浏览/下载：43/0 \| 提交时间：2015/11/08 dynamic importance degree expert system fuzzy control intelligent system double inverted pendulum SIRM (Single Input Rule Module) stabilization