Zhi Tan
Papers
1
Total Citations
4
H-Index
1
About
Zhi Tan is a researcher specializing in nonlinear dynamics and advanced control systems, with a particular focus on underactuated robotic systems such as the double pendulum robot (DPR). His work addresses the complex challenge of stabilizing and transferring control between multiple equilibrium points—Down-Down, Down-Up, Up-Down, and Up-Up—enabling what he terms "acrobatic actions." In his most cited paper, "Multi-mode control based on HSIC for double pendulum robot" (2015, 4 citations), Tan systematically defines 20 distinct acrobatic maneuvers and proposes a multi-mode control algorithm using Human-Simulated Intelligent Control (HSIC) to achieve smooth transitions between these states. This contribution provides a foundational framework for controlling highly nonlinear, multi-equilibrium systems, with potential applications in robotics, aerospace, and advanced manufacturing. Though his citation count is modest, Tan’s work is notable for its rigorous problem decomposition and innovative control strategy, offering valuable insights for students and researchers exploring underactuated systems, intelligent control, and the intersection of dynamics and automation.
Research Focus
Key Achievements
Top Papers
- 1Multi-mode control based on HSIC for double pendulum robot4 citations · 2015