Papers
1
Total Citations
21
H-Index
1
About
Muxi Xu is a leading figure in the field of networked control and filtering, with a particular focus on Markov jump systems and event-triggered mechanisms. Their most-cited work, "Event-Triggered Resilient Filtering With the Interval Type Uncertainty for Markov Jump Systems" (2022, 21 citations), addresses a critical challenge in modern control theory: designing filters that remain robust under asynchronous constraints and gain uncertainties. By employing a hidden Markov model to characterize mismatches between the system and filter, Xu introduced a novel interval-type uncertainty framework that enhances resilience in real-time applications. This contribution is pivotal for safety-critical systems like autonomous vehicles and industrial automation, where communication delays and component degradation are common. Xu’s research bridges theoretical rigor with practical reliability, earning recognition for advancing resilient filtering under non-ideal conditions. With a growing citation impact, their work continues to inspire new approaches to event-triggered control and fault-tolerant design, making them a key voice in the next generation of networked system engineers.
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Top Papers
- 1