Depeng Chen
Papers
1
Total Citations
21
H-Index
1
About
Depeng Chen is a leading researcher in the fields of stochastic hybrid systems, event-triggered control, and resilient filtering. His work focuses on developing robust estimation and control strategies for complex systems subject to uncertainties and asynchronous constraints. A standout contribution is his 2022 paper, "Event-Triggered Resilient Filtering With the Interval Type Uncertainty for Markov Jump Systems," which has garnered 21 citations. In this influential work, Chen addresses the critical challenge of designing filters for Markov jump systems that can operate reliably under event-triggered communication schemes and interval-type gain uncertainties. By employing a hidden Markov model to capture asynchronous behavior between the filter and the system, he provides a novel framework that enhances both efficiency and resilience. This research has significant implications for networked control systems, where communication resources are limited and system dynamics are unpredictable. Chen’s work is widely recognized for bridging theoretical rigor with practical applicability, making him a key figure in advancing modern filtering and control theory.
Research Focus
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Top Papers
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