中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共13条，第1-10条 帮助

条数/页： 排序方式：
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：21/0  |  提交时间：2022/09/08
Optimal PID Control of Spatial Inverted Pendulum with Big Bang-Big Crunch Optimization 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 822-832
作者:  Jia-Jun Wang;  Tufan Kumbasar
  |  收藏  |  浏览/下载：21/0  |  提交时间：2021/03/11
Control of a Two-wheeled Machine with Two-directions Handling Mechanism Using PID and PD-FLC Algorithms 期刊论文  OAI收割
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 511-533
作者:  Khaled M. Goher;  Sulaiman O. Fadlallah
  |  收藏  |  浏览/下载：18/0  |  提交时间：2021/02/22
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
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
Design and implementation of a human-machine interaction platform for analysis on human cognitive behaviors 会议论文  OAI收割
2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), Shenyang, China, June 8-12, 2015
作者:  Cui YJ(崔玉洁);  Hua JN(化建宁);  Wang XZ(王雪竹);  Li HY(李洪谊)
收藏  |  浏览/下载：32/0  |  提交时间：2016/04/30
Balancing of a virtual inverted pendulum through Internet based on prediction method 会议论文  OAI收割
2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013, Takamastu, Japan, August 4-7, 2013
作者:  Hua JN(化建宁);  Cui YJ(崔玉洁);  Wang XZ(王雪竹);  Yang FP(阳方平);  Yang YH(杨艳华)
收藏  |  浏览/下载：105/0  |  提交时间：2017/03/14
Double inverted pendulum control based on three-loop PID and improved BP neural network (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：35/0  |  提交时间：2013/03/25
To deal with the defects of BP neural networks used in balance control of inverted pendulum  such as longer train time and converging in partial minimum  this article reaLizes the control of double inverted pendulum with improved BP algorithm of artificial neural networks(ANN)  builds up a training model of test simulation and the BP network is 6-10-1 structure. Tansig function is used in hidden layer and PureLin function is used in output layer  LM is used in training algorithm. The training data is acquried by three-loop PID algorithm. The model is learned and trained with Matlab calculating software  and the simuLink simulation experiment results prove that improved BP algorithm for inverted pendulum control has higher precision  better astringency and lower calculation. This algorithm has wide appLication on nonLinear control and robust control field in particular. 2011 IEEE.  
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.