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浏览/检索结果: 共4条，第1-4条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 LQR control on multimode vortex-induced vibration of flexible riser undergoing shear flow 期刊论文 MARINE STRUCTURES, 2021, 卷号: 79, 页码: 21 作者:  Song JX(宋吉祥);  Chen WM(陈伟民);  Guo SX(郭双喜);  Yan DB(严定帮) 收藏  |  浏览/下载：27/0  |  提交时间：2021/09/07 Flexible riser  Vortex-induced vibration  Active control  LQR method   Non-probabilistic time-variant reliability assessment (NTRA) for the active control of vibration systems with convex uncertainties 期刊论文 ISA TRANSACTIONS, 2018, 卷号: 83, 页码: 276-289 作者:  Wang, Lei;  Wang, Xiaojun;  Wu, Di;  Zhang, Xiaoyu 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 Active control of vibration  The non-probabilistic time-variant  reliability assessment (NTRA) approach  The set-theoretical convex model  The first-passage method  The linear quadratic regulator (LQR) control scheme   Study on LQR control algorithm using superelement model 期刊论文 JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2016, 卷号: 23, 页码: 2429-2442 作者:  Xu Qiang;  Chen Jian-yun;  Li Jing;  Yuan Chen-yang;  Zhao Chun-feng 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/09 linear quadratic regulator (LQR)  control algorithm  component mode synthesis (CMS)  Craig-Bampton (C-B) method  superelement  vibration control   A fuzzy control method based on information integration for double inverted pendulum (EI CONFERENCE) 会议论文 2011 2nd International Conference on Digital Manufacturing and Automation, ICDMA 2011, August 5, 2011 - August 7, 2011, Zhangjiajie, Hunan, China Fan Y.; Sang Y.; Liu B. 收藏  |  浏览/下载：52/0  |  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.