Zepeng Ning
Papers
6
Total Citations
454
H-Index
6
About
Zepeng Ning is a leading researcher in the field of control theory, specializing in the analysis and synthesis of complex stochastic switching systems. His work primarily focuses on Markov and semi-Markov jump systems, Takagi-Sugeno fuzzy models, and piecewise-affine systems, particularly under challenging conditions like time-varying delays, packet dropouts, and signal quantization. Ning’s major contributions include developing robust H∞ control and observer-based control frameworks that address unreliable communication links and incomplete system information. His 2014 paper on fuzzy Markov jump systems with uncertain packet dropout rates has garnered 144 citations, while his 2019 work on semi-Markov jump systems with incomplete sojourn and transition information has been cited 118 times, underscoring their foundational impact. Notable achievements include pioneering approaches to integrating mode weights for delayed switching and designing state estimators for fuzzy affine systems with adjustable quantization density. Ning’s research provides critical tools for ensuring stability and performance in networked control systems, making him a key figure in modern control engineering.
Research Focus
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