Papers
17
Total Citations
265
H-Index
9
About
Zhenying Liang is a control systems and robotics researcher whose work centers on nonholonomic mobile robot control, visual servoing, and autonomous path planning. Over more than a decade of sustained contributions, Liang has established a strong reputation for addressing the notoriously difficult stabilization and tracking challenges posed by nonholonomic systems — robots whose motion is constrained by non-integrable velocity conditions that defy conventional control approaches. Liang's most influential contributions lie in developing robust and adaptive control frameworks for mobile robots operating under real-world uncertainties. His work on chained-form systems with uncertainties (49 citations) and visually guided stabilization with input saturation (43 citations) introduced switching control strategies that function directly on original system models, bypassing restrictive simplifying assumptions. His 2019 fixed-time convergence paper (43 citations) advanced adaptive trajectory tracking using uncalibrated cameras, reflecting a consistent focus on practical, sensor-realistic deployments. Earlier foundational work from 2009 applied Lyapunov techniques and Barbalat's theorem to dynamic feedback tracking under visual uncertainty. Beyond stabilization, Liang has explored autonomous coverage and surveillance, proposing chaotic path planners using the Standard Map and Lü system for complete coverage path planning in complex environments. Collectively, his portfolio — exceeding 240 citations — reflects meaningful, applied contributions to intelligent mobile robotics and nonlinear control theory.
Research Focus
Key Achievements
Top Papers
- 1Robust Stabilization of Nonholonomic Chained Form Systems with Uncertainties49 citations · 2011
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