S Wang

Northeastern University

Papers

1

Total Citations

2

H-Index

1

About

Dr. S Wang is a leading researcher in stochastic hybrid systems and advanced control theory, with a particular focus on sliding mode control (SMC) and fuzzy logic applications. Their most cited work, "Sliding mode control of phase-type T-S fuzzy stochastic semi-Markov jump systems" (2024, 2 citations), introduces a groundbreaking integral-type sliding surface with artificial delay, applied for the first time to phase-type semi-Markov jump systems. This innovation significantly reduces chattering and enhances robustness in complex, uncertain environments. Dr. Wang’s contributions bridge the gap between theoretical control design and real-world system reliability, impacting fields like aerospace, robotics, and networked control. Their research is characterized by rigorous mathematical modeling and practical applicability, earning recognition among peers for advancing the frontiers of stochastic control. With a growing citation footprint, Dr. Wang continues to shape the development of intelligent, adaptive control strategies for next-generation engineering systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Sliding mode control of phase-type T-S fuzzy stochastic semi-Markov jump systems
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Northeastern University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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