Papers
8
Total Citations
154
H-Index
5
About
Dongkai Zhang is a control systems researcher whose work focuses on the stabilization and tracking control of nonholonomic mobile robots, with particular expertise in handling practical engineering constraints such as input saturation, visual servoing feedback, and stochastic uncertainty. His most influential contribution, "Saturated Tracking Control for Nonholonomic Mobile Robots with Dynamic Feedback" (2012, 53 citations), introduced innovative finite-time control techniques and virtual-controller-tracked methods to address one of the fundamental challenges in mobile robotics. Building on this foundation, Zhang made significant advances in visual servoing-based control, demonstrating robust practical stabilization even under uncertain or uncalibrated camera parameters—work that has attracted 43 citations and holds clear relevance for real-world robotic deployments. His research further extends into stochastic control environments, addressing systems with Markovian switching and unknown parameters using backstepping and state-scaling techniques. Across his body of work, Zhang consistently bridges theoretical rigor with practical applicability, tackling input saturation constraints and output feedback limitations that arise in realistic robot platforms. With a cumulative citation count exceeding 150, his contributions have established him as a meaningful voice in the nonholonomic systems and mobile robotics control community.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8