Papers
3
Total Citations
7
H-Index
2
About
Minh-Tai Vo is a rising control engineer whose research centers on the stabilization and swing-up control of underactuated mechanical systems (UMSs) — complex, inherently unstable platforms with fewer actuators than degrees of freedom. His work bridges classical and modern control theory, with a particular focus on sliding mode control (SMC), energy-based methods (EBM), and optimal control strategies such as Linear Quadratic Regulator (LQR) and Linear Quadratic Gaussian (LQG). Vo’s most cited paper (2023, 4 citations) introduces a novel combination of SMC and EBM to achieve the challenging swing-up of a rotary inverted pendulum, a foundational problem in nonlinear control. His subsequent work (2024, 2 citations) provides a comparative analysis of LQR and LQG controllers for a parallel-type rotary double inverted pendulum, advancing the understanding of multivariable stabilization. Most recently (2025, 1 citation), Vo has extended his expertise to mobile robotics, experimentally demonstrating LQR-based stabilization of a unicycle robot — a notoriously difficult single-wheel balancing platform. Though early in his career, Vo’s systematic approach to benchmarking control methods on progressively complex UMSs marks him as a methodical and promising contributor to the field of nonlinear and optimal control.
Research Focus
Key Achievements
Top Papers
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