Zhengrong Xiang
Papers
10
Total Citations
190
H-Index
7
About
Zhengrong Xiang is a leading researcher in nonlinear control systems, multi-agent coordination, and robotic autonomy. Their work focuses on solving fundamental challenges in finite-time and prescribed-time control, particularly for complex systems with unknown dynamics. Xiang's most influential contribution is the 2016 paper on adaptive finite-time consensus protocols using neural networks (56 citations), which established a framework for achieving rapid coordination in multi-agent systems despite nonlinear uncertainties. More recently, Xiang has pioneered event-triggered optimal control for switched nonlinear systems (43 citations) and prescribed-time optimal control frameworks (40 citations), enabling precise timing guarantees in safety-critical applications. Their research extends to practical robotics, including trajectory tracking for snake robots and path planning on rough terrain using Q-learning and multi-objective PSO. Xiang's work on sampled-data connectivity-preserving consensus and observer-based finite-time consensus addresses real-world constraints like limited communication and heterogeneous dynamics. With over 190 citations across their top papers, Xiang's contributions are shaping the future of autonomous systems, from robotic manipulators to multi-agent networks, making them a key figure in modern control theory and its applications.
Research Focus
Key Achievements
Top Papers
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- 3Prescribed-Time Optimal Control for a Class of Switched Nonlinear Systems40 citations · 2024
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- 10Finite-time stability analysis and synthesis of complex dynamic systems2 citations · 2020