中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories 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9条,第1-9条 帮助

条数/页: 排序方式:
Multi-mode adaptive control strategy for a lower limb rehabilitation robot 期刊论文  OAI收割
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2024, 卷号: 12, 页码: 15
作者:  
Liang, Xu;  Yan, Yuchen;  Dai, Shenghua;  Guo, Zhao;  Li, Zheng
  |  收藏  |  浏览/下载:37/0  |  提交时间:2024/07/04
Two-Level Energy Control Strategy Based on ADP and A-ECMS for Series Hybrid Electric Vehicles 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  
Shen, Zhen;  Luo, Can;  Dong, Xisong;  Lu, Wanze;  Lv, Yisheng
  |  收藏  |  浏览/下载:43/0  |  提交时间:2022/03/17
Transfer learning for batch process optimal control using LV-PTM and adaptive control strategy 期刊论文  OAI收割
JOURNAL OF PROCESS CONTROL, 2019, 卷号: 81, 页码: 197-208
作者:  
Chu, Fei;  Zhao, Xu;  Yao, Yuan;  Chen, Tao;  Wang, Fuli
  |  收藏  |  浏览/下载:72/0  |  提交时间:2019/12/16
Improved adaptive control strategy of inertia for virtual synchronous generator based on fuzzy control 会议论文  OAI收割
Guangzhou, China, July 27-30, 2019
作者:  
Gu, Nanhui;  Zhang HL(张华良);  Zhang T(张涛);  Wang, Anna;  Zheng, Jiaqi
  |  收藏  |  浏览/下载:51/0  |  提交时间:2019/11/23
Enhanced proportional power sharing strategy based on adaptive virtual impedance in low-voltage networked microgrid 期刊论文  OAI收割
IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 卷号: 12, 期号: 11, 页码: 2566-2576
作者:  
Zhang, Jiyuan;  Shu, Jie;  Ning, Jia;  Huang, Lei;  Wang, Hao
  |  收藏  |  浏览/下载:24/0  |  提交时间:2020/10/29
Residential energy scheduling for variable weather solar energy based on adaptive dynamic programming 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2017, 卷号: 5, 期号: 1, 页码: 36-46
作者:  
Liu DR(刘德荣);  Xu YC(徐延才);  Wei QL(魏庆来);  Xinliang Liu
  |  收藏  |  浏览/下载:71/0  |  提交时间:2018/01/18
Study of adaptive inverse control to stale platform (EI CONFERENCE) 会议论文  OAI收割
International Conference on Computer Science and Software Engineering, CSSE 2008, December 12, 2008 - December 14, 2008, Wuhan, Hubei, China
作者:  
Li Y.;  Li Y.;  Li Y.;  Li Y.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
Stable platform is a complicated nonlinear system. The common PID control can not meet the requirement of high precision and fast response. The adaptive inverse control was introduced in the system of stable platform. Based on it  the system utilize its character of open circle to improve system capability. In the model building to object model and object inverse model  the NARX network is used. The algorithm uses the least square method instead of least square(LMS) to identify the parameters and design the control. The simulation results show several advantages of this control strategy  such as sensitive response  non-overshoot  good anti-disturbance  and minimal stable error  and showed dynamic/static performance was superior to those of conventional PID method. 2008 IEEE.  
Adaptive sliding mode control for airborne Opto-Electronic platform servo system (EI CONFERENCE) 会议论文  OAI收割
7th International Conference on Machine Learning and Cybernetics, ICMLC, July 12, 2008 - July 15, 2008, Kunming, China
Wang C.-X.; Liu J.-H.; Shen H.-H.; Dai M.
收藏  |  浏览/下载:21/0  |  提交时间:2013/03/25
The novel presents an adaptive reaching law sliding mode controller to slove a class of uncertain systems.The Airborne Opto-Electronic Platform sliding model is employed to represent a class of complex uncertain system. The control is based on reaching law control. Discrete time implementation of the sliding mode control strategy is considered in the paper  since it is more appropriate for practical applications. It is shown that the robustness of the sliding mode control method is constrained by sampling time. Design of the adaptive reaching law based on a discrete expotential reaching law concept is given  which to design a new sliding mode controller based on Lyapunov stability theory. The global asymptotic stability is guaranteed. An example with simulation results is given to illustrate the effectiveness of the proposed method. 2008 IEEE.  
城市交通诱导与控制集成策略的研究 学位论文  OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2004
作者:  
李振龙
收藏  |  浏览/下载:80/0  |  提交时间:2015/09/02