Our mission is to integrate and establish approaches as Mathematical Systems Science for important engineering issues toward the future. Mathematical systems science is based on mathematical models and applicable in many engineering and scientific researches including emergent fields such as cyber-physical systems, man-machine systems, open systems science, and systems biology.
Our aim is to clarify the state of art of research on mathematical systems science and to promote the future research. Our major research fields are both theory and application of mathematical systems sciences, including the following topics:
- Basic theory on mathematical systems science
- Graphs
- Petri nets
- Networks
- Concurrent systems
- System optimization
- Multi-agent systems
- Hybrid systems
- Distributed systems
- Game theory
- Discrete event systems
- Mathematics on system design and verification
- Formal modeling
- Formal verification
- Diagnosis
- Performance evaluation
- Simulation
- Fault tolerance
- Mathematics on cyber-physical systems
- Embedded systems
- Networked control
- Sensor networks
- Cooperative control
- Real-time systems
- Mathematics on human factors
- Modeling and analysis on human activity
- Business process
- Service science
- Applications
- Workflow
- Elevator control
- Manufacturing scheduling
- AGV control
- On-demand bus control
- Design of large-scale software
- New approaches
- Open system science
- Systems biology
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