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Browsing "Department of Industrial & Manufacturing Systems Engineering" by Author wang, z
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Showing results 1 to 12 of 12
Title
Author(s)
Issue Date
AFM Image Reconstruction Using Compensation Model of Thermal Drift
Book:
AFM-Based Observation and Robotic Nano-manipulation
Yuan, S
Liu, L
Wang, Z
Xi, N
2020
AFM Tip Position Control in situ for Effective Nano-Manipulation
Journal:
IEEE/ASME Transactions on Mechatronics
Yuan, S
Wang, Z
Xi, N
Wang, Y
Liu, L
2018
Big data-driven decoupling framework enabling quantitative assessments of electric vehicle performance degradation
Journal:
Applied Energy
Zhao, Y
Wang, Z
Shen, ZJM
Zhang, L
Dorrell, DG
Sun, F
1-Dec-2022
Blockchain-enabled cyber-physical smart modular integrated construction
Journal:
Computers in Industry
JIANG, Y
LIU, X
KANG, K
Wang, Z
Zhong, RY
Huang, GQ
2021
Blockchain-enabled digital twin collaboration platform for fit-out operations in modular integrated construction
Journal:
Automation in Construction
JIANG, Y
LIU, X
Wang, Z
Li, M
Zhong, RR
Huang, GQ
2023
A hybrid Petri nets model of networked manufacturing systems and its control system architecture
Journal:
Journal of Manufacturing Technology Management
Wang, Z
Zhang, J
Chan, FTS
2005
imseStudio: blockchain-enabled secure digital twin platform for service manufacturing
Journal:
International Journal of Production Research
LIU, X
JIANG, Y
Wang, Z
Zhong, RR
Cheung, HH
Huang, GQ
2021
Path planning and design for AFM based nano-manipulation using probability distribution
Proceeding/Conference:
IEEE International Conference on Cyborg and Bionic Systems (CBS)
Yuan, S
Liu, L
Wang, Z
Xing, J
Xi, N
Wang, Y
2017
Research on the architecture of mould manufacturing grid
Proceeding/Conference:
Proceedings - 2010 International Conference on Manufacturing Automation, ICMA 2010
Wang, Z
Huang, GQ
2010
Stochastic Approach for Feature-Based Tip Localization and Planning in Nanomanipulations
Journal:
IEEE Transactions on Automation Science and Engineering
Yuan, S
Wang, Z
Liu, L
Xi, N
Wang, Y
2017
Study of nano-manipulation approach based on the least action principle using AFM based robotic system
Proceeding/Conference:
2017 36th Chinese Control Conference (CCC)
Yuan, S
Liu, L
Wang, Z
Xi, N
Wang, Y
2017
A two-level hedging point policy for controlling a manufacturing system with time-delay, demand uncertainty and extra capacity
Journal:
European Journal of Operational Research
Chan, FTS
Wang, Z
Zhang, J
2007
