Chang‐Duo Liang
Papers
10
Total Citations
249
H-Index
6
About
Chang-Duo Liang is a leading researcher in the control of complex robotic systems, with a primary focus on predefined-time stabilization, hierarchical formation tracking, and fault-tolerant control for networked heterogeneous robots. His most significant contributions lie in developing novel sliding-mode and observer-based algorithms that guarantee whole-process predefined-time tracking for Euler–Lagrange systems, as demonstrated in his highly cited 2021 work (71 citations). Liang has pioneered hierarchical control frameworks that solve critical challenges in multi-robot coordination, including output multiformation tracking (56 citations) and multi-target surrounding (27 citations) under actuator faults and dynamic uncertainties. His research also extends to cloud-supported teleoperation and bipartite formation tracking for space applications. With over 250 total citations, Liang’s work has provided rigorous solutions for finite-time convergence and state-constrained control in perturbed mechanical systems. His achievements include the introduction of a nonsingular sliding-mode surface that enables zero-error tracking within a user-defined time, a breakthrough that has influenced both theoretical control design and practical implementations in collaborative robotics.
Research Focus
Key Achievements
Top Papers
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- 10Predefined-time Terminal Sliding Mode Control of Robot Manipulators5 citations · 2020