About

Zhong-Ping Jiang is a pioneering figure in nonlinear control theory and robotics, whose work has fundamentally shaped how autonomous systems navigate and interact with the world. His research spans adaptive control, distributed formation control, and learning-based control, with a particular focus on nonholonomic mobile robots and wheel-legged platforms. Jiang’s most impactful contributions include the development of time-varying global adaptive controllers that simultaneously solve tracking and stabilization problems for mobile robots with unknown parameters—a breakthrough that has garnered over 1,600 citations across his top papers. His 2012 work on distributed formation control without global position measurements (342 citations) and his foundational 2001 paper on saturated stabilization (252 citations) are cornerstones in the field. More recently, Jiang has advanced balance control for wheel-legged robots, integrating reinforcement learning and adaptive dynamic programming to achieve robust performance without accurate dynamic models. His iterative design methods for multi-input systems and his work on nonlinear control of dynamic networks further demonstrate his ability to bridge theory and practice. With a career marked by innovative controller synthesis using Lyapunov methods and backstepping, Jiang remains a leading voice in making autonomous systems safer, more adaptive, and more intelligent.

Research Focus

Key Achievements

20
H-Index
33
Papers
2,474
Total Citations
75
Avg Citations/Paper
🏆 Most Cited Paper
Distributed formation control of nonholonomic mobile robots without global position measurements
342 citations · 2012
📈 Most Prolific Year: 2021 (5 Papers)
🤝 Key Collaborators: 48
🏛 Institutions: SUNY Polytechnic Institute, New York University, Australian National University, Polymer Research Institute, Brooklyn Technical High School

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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