4 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…