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Zhengqiang Zhang

Publications

Citations

1,731

Publications by Year

20112025

Co-Authors:

Fuad E. AlsaadiXiqiang CaoZiran ChenMou ChenXinran Chen

Show All Co-Authors (93)

Zhengqiang Zhang

Affiliation

School of Engineering

Qufu Normal University

Rizhao, China

Publication Topics

Adaptive Control,
Nonlinear Systems,
Tracking Error,
Optimal Control,
Time Delay,
Class Of Nonlinear Systems,
Class Of Systems,
Control Design,
Time-delay Systems,
Closed-loop System,
Positive Constant,
Adaptive Law

Biography

Zhengqiang Zhang received the B.S. and M.S. degrees from Qufu Normal University, Qufu, China, in 2000 and 2003, respectively, and the Ph.D. degree from the Nanjing University of Science and Technology, Nanjing, China, in 2011.,He is currently a Professor with the School of Engineering, Qufu Normal University. His current research interests include adaptive control, control of nonlinear systems, fault-tolerant control, and time-delay systems.(Based on document published on 8 January 2020).

Publications

Citations

1,731

Publications by Year

20112025

Co-Authors:

Fuad E. Alsaadi
Xiqiang Cao
Ziran Chen
Mou Chen
Xinran Chen

Show All Co-Authors (93)

Author's Published Works

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Shen Cheng(2)
Yi Xiao(1)
Zhouhao Lai(1)
Kuan Lu(1)
Junhao Qiu(1)
School of Automation and Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control, Guangdong University of Technology, Guangzhou, China(1)
School of Computers and Guangdong Province, Key Laboratory of Intelligent Decision and Cooperative Control, Guangdong University of Technology, Guangzhou, China(1)
School of Automation and Guangdong Province, Key Laboratory of Intelligent Decision and Cooperative Control, Guangdong University of Technology, Guangzhou, China(1)
2020 7th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)(1)
2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)(1)
IEEE(2)
Guangzhou, China(1)
Suzhou, China(1)
Anorectal Disorders(1)
Apriori Algorithm(1)
Association Rule Mining(1)
Association Rules(1)
Big Data(1)

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Manufacturing Big Data Modeling Based on KNN-LR Algorithm and Its Application in Product Design Business Domain

Yi Xiao;Hongru Ren;Renquan Lu;Shen Cheng

2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)

Year: 2021 | Conference Paper |

Cited by: Papers (3)

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In product life cycle, it is very important to use the manufacturing big data to build prediction model and apply it to predict whether the design task of the product can be completed within the specified time. Most of the existing prediction models in manufacturing industry are built by a single algorithm or its improved version, and neglect the limitation of using a single forecasting algorithm,...Show More

Manufacturing Big Data Modeling Based on KNN-LR Algorithm and Its Application in Product Design Business Domain

Yi Xiao;Hongru Ren;Renquan Lu;Shen Cheng

2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)

Year: 2021 | Conference Paper |

Pathogenic Factors Mining Based on Medical Big Data Using Association Analysis Algorithm: A Case of Anorectal Diseases

Shen Cheng;Junhao Qiu;Zhouhao Lai;Chong Peng;Kuan Lu

2020 7th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)

Year: 2020 | Conference Paper |

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Guangdong Province is a district with a high incidence of anorectal diseases. In addition, the pathogenic factors of anorectal diseases are complex and diverse. Existing clinical diagnostic techniques are difficult to accurately analyze the pathogenic factors of anorectal diseases. Therefore, in this paper, an association analysis algorithm is proposed for solving the problem of pathogenic factors...Show More

Pathogenic Factors Mining Based on Medical Big Data Using Association Analysis Algorithm: A Case of Anorectal Diseases

Shen Cheng;Junhao Qiu;Zhouhao Lai;Chong Peng;Kuan Lu

2020 7th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)

Year: 2020 | Conference Paper |

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