Papers
2
Total Citations
95
H-Index
2
About
Lina Xia is a rising leader in the fields of nonlinear control theory, adaptive dynamic programming (ADP), and event-triggered control systems. Her research focuses on solving critical challenges in safety-critical and resource-constrained engineering systems, particularly where state and input limitations must be respected while maintaining optimal performance. In her most-cited work, "Online Optimal Event-Triggered H∞ Control for Nonlinear Systems With Constrained State and Input" (70 citations), Xia pioneered a dual event-triggered ADP algorithm that simultaneously enforces safety constraints and reduces communication overhead—a breakthrough for real-time applications in robotics and autonomous systems. She further extended these ideas to multi-agent systems in her paper on distributed optimized dynamic event-triggered control for unknown heterogeneous nonlinear MASs with input constraints (25 citations), addressing coordination challenges in networked systems with limited resources. Xia’s contributions are notable for bridging theoretical rigor with practical implementation concerns, offering computationally efficient solutions that guarantee stability and robustness. Her work is increasingly cited by researchers in cyber-physical systems, intelligent control, and distributed optimization, establishing her as a key voice in next-generation adaptive control.
Research Focus
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