Papers
2
Total Citations
74
H-Index
2
About
Hongzhen Xie is a rising researcher in the field of nonlinear control systems, with a primary focus on adaptive neural network (NN) tracking control, prescribed performance control, and the resilience of networked control systems (NCSs) against cyber threats. Their major contributions include pioneering a flexible-fixed-time-performance-based adaptive asymptotic tracking control strategy for switched nonlinear systems, which addresses input saturation and external disturbances—a work that has garnered 63 citations since 2023. This approach overcomes the limitations of traditional prescribed performance controls by ensuring transient behavior without rigid constraints. More recently, Xie has advanced the field by developing an observer-based adaptive NN tracking control method for NCSs subject to intermittent denial-of-service (DoS) attacks, achieving finite-time prescribed performance (FTPP) even when the attacker is active. This 2025 paper, with 11 citations, highlights their innovative integration of cybersecurity with control theory. Xie’s work is notable for its practical relevance to safety-critical systems, such as autonomous vehicles and industrial automation, where robustness and real-time performance are paramount. Their research continues to inspire new directions in adaptive control under adversarial conditions.
Research Focus
Key Achievements
Top Papers
- 1
- 2