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一种基于二阶滑模观测器的航天器故障诊断方法 专利
专利类型: 发明, 专利号: CN110442110A, 公开日期: 2019-11-12,
Inventors:  高升;  张伟;  何旭;  刘英丽;  黄昊;  丁靓
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一种基于BP神经网络的航天器姿控系统故障诊断方法 专利
专利类型: 发明, 专利号: CN109753045A, 公开日期: 2019-05-14,
Inventors:  高升;  张伟;  刘英丽;  何旭;  黄昊
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一种基于图像的模型融合的神经网络结构训练方法 专利
专利类型: 发明, 专利号: CN109522914A, 公开日期: 2019-03-26,
Inventors:  张伟;  刘英丽;  黄昊;  王康;  何旭;  高升
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一种基于滑模观测器的航天器姿控系统多故障诊断方法 专利
专利类型: 发明, 专利号: CN109426238A, 公开日期: 2019-03-05,
Inventors:  高升;  张伟;  刘英丽;  何旭;  黄昊
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Control Method for Sampled-Data Systems with Multiple Channels Based on Deadband-Triggered Scheme 期刊论文
INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED, 2018, 页码: 1-10
Authors:  Liu YY(刘英英);  Chu YK(褚云凯)
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Network-based control of discrete-time Systems with nonlinear perturbation and transmitting data constraint 会议论文
Proceedings of 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference, ITOEC 2018, Chongqing, China, December 14-16, 2018
Authors:  Liu YY(刘英英);  Chu YK(褚云凯)
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Sampled-data systems  Deadband-triggered scheme  Multiple channels  Communication constraint  
Research of bus station architecture based on smart space 会议论文
2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), Shenyang, China, June 8-12, 2015
Authors:  Liu, Ying;  Wang JY(王景杨);  Li YM(李永民);  Cong QM(丛秋梅)
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StatiOn Based On Smart Space  System Architecture  
一体化标识网络映射缓存DoS攻击防范方法研究 期刊论文
电子学报, 2015, 卷号: 43, 期号: 10, 页码: 1941-1947
Authors:  万明;  张宏科;  尚文利;  沈烁;  刘颖
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一体化标识网络  映射缓存dos攻击  双门限机制  谜题机制  可信度  
The design of Self-adaptive Fuzzy PID Controller in Magnetic Suspension Systems 会议论文
PROCEEDINGS OF THE 2015 6TH INTERNATIONAL CONFERENCE ON MANUFACTURING SCIENCE AND ENGINEERING, Guangzhou, PEOPLES R CHINA, November 28-29, 2015
Authors:  Liu YY(刘英英);  Kong Z(孔芝);  Wang LF(王立夫);  Liu YY(刘意杨)
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Self-adaptive  Pid Controller  Magnetic Suspension Systems  
The Vehicle Location Method Based on Artificial Neural Networks 会议论文
PROCEEDINGS OF THE 2015 6TH INTERNATIONAL CONFERENCE ON MANUFACTURING SCIENCE AND ENGINEERING, Guangzhou, PEOPLES R CHINA, November 28-29, 2015
Authors:  Liu YY(刘英英);  Kong Z(孔芝);  Wang LF(王立夫);  Liu YY(刘意杨)
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Location  Gps  Artificial Neural Network