About

Wenjie Dong is a prominent control systems researcher whose work has significantly advanced the fields of nonholonomic systems, mobile robotics, and multi-agent cooperative control. Over more than two decades, Dong has made foundational contributions to trajectory tracking, adaptive control, and formation control for wheeled mobile robots operating under real-world constraints such as parameter uncertainties, unknown dynamics, and limited communication. His most influential work, "Cooperative Control of Multiple Nonholonomic Mobile Agents" (2008, 345 citations), established key frameworks for coordinating groups of mobile agents under varied communication scenarios, becoming a landmark reference in multi-robot systems research. Earlier work from 1999–2000 tackled the challenging problem of trajectory tracking for dynamic nonholonomic systems with unknown inertia parameters, laying important theoretical groundwork. His 2005 paper on robust adaptive control using neural networks and backstepping techniques (148 citations) demonstrated practical solutions for handling real-world robot uncertainties. Dong's research consistently bridges rigorous mathematical tools—including Lyapunov analysis and graph theory—with practical robotics applications. His contributions to formation control, consensus protocols, and distributed cooperative control have collectively garnered over 800 citations, cementing his reputation as a leading authority in autonomous multi-robot systems and nonlinear control theory.

Research Focus

Key Achievements

16
H-Index
30
Papers
1,095
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Cooperative Control of Multiple Nonholonomic Mobile Agents
345 citations · 2008
📈 Most Prolific Year: 2008 (3 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: University of California, Riverside, University of Siegen, Beihang University, The University of Texas Rio Grande Valley, University of Central Florida, Chinese University of Hong Kong, Shenzhen

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago