Papers
5
Total Citations
56
H-Index
5
About
Dr. Jiqiang Feng is a leading researcher in the field of stochastic complex dynamical systems, with a primary focus on synchronization, stability, and control under challenging conditions. His work is distinguished by pioneering the integration of Lévy noise and mixed delays into coupled systems, a first in the field that has opened new avenues for modeling real-world complexity. Dr. Feng’s most impactful contribution, a 2020 paper on the stability of stochastic Lévy noise coupled systems (22 citations), leverages the Razumikhin method to establish foundational stability criteria. He has further advanced the field by developing innovative control strategies, such as intermittent pinning discrete observations control and periodic self-triggered intermittent sampled-data control, to achieve exponential synchronization in second-order stochastic networks and multi-links systems. His research on exponential bipartite synchronization over signed graphs with Markovian switching (13 citations) demonstrates his ability to address complex network topologies. With a total of over 56 citations across his top works, Dr. Feng’s contributions are essential for students and researchers working on the robust control of stochastic systems, offering both theoretical breakthroughs and practical applications in network science.
Research Focus
Key Achievements
Top Papers
- 1Stability of stochastic Lévy noise coupled systems with mixed delays22 citations · 2020
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- 4Synchronization of multi-links systems with Lévy noise and application5 citations · 2020
- 5