1 citations · 2 across the 9 of their papers we have counts for
9 papers
Computationally Efficient Near-Optimal Control for Current Ripple Reduction and Optimization of Three-Phase Motors via LMIs
Huu-Thinh Do, Trung B. Tran, Jing Sun +1
The optimal control of three-phase permanent-magnet synchronous motors (PMSMs) is challenging due to their nonlinearity and the discrete nature of the control set. Existing approac…
On ANN-enhanced positive invariance for nonlinear flat systems
Huu-Thinh Do, Ionela Prodan
The concept of positively invariant (PI) sets has proven effective in the formal verification of stability and safety properties for autonomous systems. However, the characterizati…
An ANN-Enhanced Approach for Flatness-Based Constrained Control of Nonlinear Systems
Huu-Thinh Do, Ionela Prodan, Florin Stoican
Neural networks have proven practical for a synergistic combination of advanced control techniques. This work analyzes the implementation of rectified linear unit neural networks t…
Reducing real-time complexity via sub-control Lyapunov functions: from theory to experiments
Huu-Thinh Do, Franco Blanchini, Stefano Miani +1
The techniques to design control Lyapunov functions (CLF), along with a proper stabilizing feedback, possibly in the presence of constraints, often provide control laws that are to…
On the constrained feedback linearization control based on the MILP representation of a ReLU-ANN
Huu-Thinh Do, Ionela Prodan
In this work, we explore the efficacy of rectified linear unit artificial neural networks in addressing the intricate challenges of convoluted constraints arising from feedback lin…
Experimental validation of an explicit flatness-based MPC design for quadcopter position tracking
Huu-Thinh Do, Ionela Prodan
Due to the nonlinearities and operational constraints typical to quadcopter missions, Model Predictive Control (MPC) encounters the major challenge of high computational power nece…
Enhancements on a saturated control for stabilizing a quadcopter: adaptive and robustness analysis in the flat output space
Huu-Thinh Do, Franco Blanchini, Ionela Prodan
This paper extends our previous study on an explicit saturated control for a quadcopter, which ensures both constraint satisfaction and stability thanks to the linear representatio…
Indoor experimental validation of MPC-based trajectory tracking for a quadcopter via a flat mapping approach
Huu-Thinh Do, Ionela Prodan
Differential flatness has been used to provide diffeomorphic transformations for non-linear dynamics to become a linear controllable system. This greatly simplifies the control syn…
A flatness-based saturated controller design for a quadcopter with experimental validation
Huu-Thinh Do, Franco Blanchini, Ionela Prodan
Using the properties of differential flatness, a controllable system, such as a quadcoper model, may be transformed into a linear equivalent system via a coordinate change and an i…