Kaixin Xu
Papers
1
Total Citations
2
H-Index
1
About
Kaixin Xu is a rising researcher in the field of control theory, with a primary focus on switched linear systems and stochastic switching signals. Their major contribution lies in the innovative analysis and synthesis of discrete-time switched systems governed by random mode-dependent sojourn-time (RMST) properties—a framework that more accurately models real-world systems where the time spent in each operational mode is both random and mode-specific. In their seminal 2023 work, Xu introduced rigorous methods to assess stability and stabilization under these complex switching conditions, offering new tools for engineers designing resilient, adaptive control systems. While still early in their career, Xu’s work has already garnered attention, with their most-cited paper accumulating 2 citations—a notable achievement for such a specialized, recent publication. This foundational research promises to advance applications in networked control, power electronics, and autonomous systems, marking Xu as a promising scholar to watch in the evolving landscape of hybrid and stochastic control.
Research Focus
Key Achievements
Top Papers
- 1