Zong‐Yao Sun

About

Zong-Yao Sun is a leading figure in nonlinear control theory, with a career-spanning focus on the stabilization and tracking of high-order uncertain systems. His seminal 2016 work, "A unified time-varying feedback approach," which has garnered 135 citations, provides a foundational framework for adaptive stabilization, addressing long-standing challenges in high-order nonlinear dynamics. Sun’s research is distinguished by its practical impact, notably in robotics: his 2019 paper on robust stabilization with unknown sensitivities (33 citations) directly applies to humanoid robot manipulation, while his 2024 studies on fast finite-time stabilization and adaptive event-triggered control tackle real-world constraints in single-link and parallel robot manipulators. He has also advanced the field by addressing complex issues like time-delay, output constraints, and stochastic disturbances, as seen in his work on tracking control (2019) and finite-time fuzzy strategies (2025). With over 185 total citations across his most-cited papers, Sun’s contributions bridge rigorous theory and application, making him a key innovator in modern control systems for robotics and automation.

Research Focus

Key Achievements

Top Papers

1. 1
   A unified time-varying feedback approach and its applications in adaptive stabilization of high-order uncertain nonlinear systems

   135 citations · 2016
2. 2
   Robust Stabilization of High-Order Nonlinear Systems With Unknown Sensitivities and Applications in Humanoid Robot Manipulation

   33 citations · 2019
3. 3
   New results on robust tracking control for a class of high-order nonlinear time-delay systems

   7 citations · 2019
4. 4
   Fast finite‐time stabilization of stochastic nonlinear systems with output constraints and an application to single‐link robot

   4 citations · 2024
5. 5
   Adaptive Event-Triggered Exponential Tracking Control of Parallel Robot Manipulators

   3 citations · 2024
6. 6
   Nonregular backstepping design of underactuated mechanical systems

   2 citations · 2002
7. 7
   A Novel Practical Finite-Time Adaptive Fuzzy Tracking Strategy of Stochastic Nonlinear Systems

   1 citations · 2025

Key Collaborators

Contact & Links