Papers
5
Total Citations
345
H-Index
5
About
Dr. Yugang Niu is a leading authority in sliding-mode control (SMC) theory, with a particular focus on securing cyber-physical systems (CPS) against malicious threats. His research masterfully bridges robust control design with network security, addressing critical vulnerabilities in modern automated systems. Dr. Niu’s most impactful work, a 2019 paper on finite-time SMC for Markovian jump CPS under randomly occurring injection attacks, has garnered 279 citations, establishing a foundational framework for resilient control in adversarial network environments. He has further advanced the field by tackling practical challenges such as aperiodic sampling, fading wireless channels, and randomly switching sampling periods—issues that plague real-world implementations. His innovative use of genetic algorithms to optimize delayed output feedback for fuzzy systems demonstrates a commitment to computationally intelligent solutions. With over 340 total citations across his top works, Dr. Niu’s contributions are essential reading for researchers in control theory, network security, and robotics, particularly those developing robust controllers for safety-critical applications where reliability against both uncertainty and cyber-attacks is paramount.
Research Focus
Key Achievements
Top Papers
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- 5Neural network output feedback control for uncertain robot5 citations · 2003