Ruihua Wang

Ruihua Wang is a researcher with a focus on Control Theory, Switched Systems, and H∞ Control, as evidenced by her extensive publication record in journals like Information Sciences and Trans. Inst. Meas. Control. Her work spans applications in engineering systems, biomedical devices, and educational technology.

Ruihua Wang’s research interests include:

• Control Theory and Lyapunov Function approaches
• Switched and Markovian Jump Systems
• Machine Learning for predictive maintenance and signal processing
• Biomedical engineering for wearable health monitoring
• Educational technology in multimedia learning

Her recent publications highlight trends in finite-time control strategies, resilient control under cyberattacks, and adaptive algorithms for systems like bearings and rotating machinery. She also explores interdisciplinary applications, such as instructor voice enthusiasm in educational tools.