机构

• 自动化研究所 [2]
• 长春光学精密机械与物... [1]
• 数学与系统科学研究院 [1]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [3]
• 会议论文 [2]

发表日期

• 2024 [1]
• 2020 [1]
• 2019 [1]
• 2017 [1]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Optimal Cooperative Secondary Control for Islanded DC Microgrids via a Fully Actuated Approach 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 405-417 作者:  Yi Yu;  Guo-Ping Liu;  Yi Huang;  Peng Shi   |  收藏  |  浏览/下载：40/0  |  提交时间：2024/01/23 DC microgrids  distributed control  high-order fully actuated system approach  linear quadratic regulator  microgrid modeling  secondary control   Adaptive Linear Quadratic Regulator for Continuous-Time Systems with Uncertain Dynamics 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 833-841 作者:  Sumit Kumar Jha;  Shubhendu Bhasin   |  收藏  |  浏览/下载：18/0  |  提交时间：2021/03/11 Adaptive optimal control  continuous policy update  linear quadratic regulator  uncertain system  dynamics   Distributed Formation Control of Multiple Quadrotor Aircraft Based on Nonsmooth Consensus Algorithms 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 1, 页码: 342-353 作者:  Du, Haibo;  Zhu, Wenwu;  Wen, Guanghui;  Duan, Zhisheng;  Lu, Jinhu   |  收藏  |  浏览/下载：64/0  |  提交时间：2019/03/05 Finite-time control  formation control  linear quadratic regulator (LQR)  multiple quadrotor aircraft  nonsmooth consensus   State feedback controller design for affine parameter-dependent LPV systems 会议论文  OAI收割 Toulouse, France, July 9-14, 2017 作者:  Liu Z(刘重);  Theilliol, Didier;  Gu F(谷丰);  He YQ(何玉庆);  Yang LY(杨丽英)   |  收藏  |  浏览/下载：23/0  |  提交时间：2017/12/21 Linear Parameter-varying  Affine Parameter-dependence  Lyapunov Stability  Guaranteed Cost Control  Linear Quadratic Regulator  Linear Matrix Inequality   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.