Qingsu Wang

University of Arizona

Papers

1

Total Citations

17

H-Index

1

About

Qingsu Wang is a researcher whose work sits at the intersection of systems modeling, simulation, and autonomous control systems. Active in the early 1990s, Wang made notable contributions to the field of high autonomy systems through pioneering research on automated model abstraction techniques. Most prominently, Wang's 1991 paper on "Time Windows" introduced a novel framework for automatically generating discrete-event models from continuous-time simulation models — a significant advancement that bridged the gap between continuous and discrete system representations. This work demonstrated how coarser-granularity event-based models could be systematically derived, proving particularly valuable for the design of event-based control systems in autonomous environments. The automated abstraction methodology Wang proposed offered researchers and engineers a principled way to manage model complexity without sacrificing functional accuracy, a challenge central to the development of intelligent autonomous systems. With 17 citations, the work has influenced subsequent scholarship in hybrid systems modeling and autonomous control design. Wang's contributions reflect an early and forward-thinking engagement with questions of model scalability and automation that remain relevant to modern robotics, aerospace, and intelligent systems research.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
TIME WINDOWS: AUTOMATED ABSTRACTION OF CONTINUOUS-TIME MODELS INTO DISCRETE-EVENT MODELS IN HIGH AUTONOMY SYSTEMS∗
17 citations · 1991
📈 Most Prolific Year: 1991 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: University of Arizona

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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