A5016925498- Digital Transformation in Industry
- Distributed and Parallel Computing Systems
- Simulation Techniques and Applications
- Collaboration in agile enterprises
- Adaptive Control of Nonlinear Systems
- Manufacturing Process and Optimization
- Scientific Computing and Data Management
- Network Security and Intrusion Detection
- Industrial Technology and Control Systems
- Neural Networks and Applications
- Public Administration, ICT, and Policy Development
- Stability and Control of Uncertain Systems
- Advanced Data Processing Techniques
- Control Systems and Identification
- Software System Performance and Reliability
- Anomaly Detection Techniques and Applications
- Model Reduction and Neural Networks
- Internet Traffic Analysis and Secure E-voting
- Cloud Computing and Resource Management
- Advanced Software Engineering Methodologies
- Neural Networks Stability and Synchronization
- Advanced Manufacturing and Logistics Optimization
- BIM and Construction Integration
- Innovative Educational Techniques
- Aerospace Engineering and Energy Systems
Beihang University
2007-2024
Harbin Institute of Technology
2024
RELX Group (United States)
2022
Wenzhou University
2021
Ministry of Education of the People's Republic of China
2017
Beijing Computing Center
2012
Abstract Combining with the emerged technologies such as cloud computing, Internet of things, service-oriented and high performance a new manufacturing paradigm – (CMfg) for solving bottlenecks in informatisation development applications is introduced. The concept CMfg, including its architecture, typical characteristics key implementing CMfg service platform, discussed. Three core components constructing system, i.e. resources, are studied, method investigated. Finally, prototype existing...
Cloud manufacturing is a new paradigm which creates an open environment for transactions among the enterprises. Research on transaction modes and regularities in cloud important promoting applications of manufacturing. To this end, we design implement simulation platform according to typical processes enterprises environment. In platform, are encapsulated into Service Agents, thus activities service agents can be used describe enterprise behaviors. By defining different rules, simulations...
Abstract The controller synthesis problem for discrete‐time positive switched T–S fuzzy systems (PSTSFSs) is investigated in this paper. Unlike previous literature, subsystems are assumed to be partially controllable A novel slow–fast combined mode‐dependent average dwell time (SFCMDADT) approach proposed obtain sufficient conditions the stability of general nonlinear with stable subsystems. Then based on obtained results, a parallel distributed compensation (PDC)‐based designed, and PSTSFSs...
We develop a machine learning approach to identifying parameters with steady-state solutions, locating such and determining their linear stability for systems of ordinary differential equations dynamical parameters. Our begins the construction target functions that can be used identify solution solutions. design parameter-solution neural network (PSNN) couples parameter approximate function, efficient algorithms train PSNN locate also present theory approximation function by our based on...