7 citations · 27 across the 21 of their papers we have counts for
21 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…
A Safe and Stable Controller for Fuel Cell Systems Using Adaptation and Reference Governors
Mychal Amoafo, Ilya Kolmanovsky, Anuradha Annaswamy
This paper proposes a control architecture integrating adaptation with Lyapunov-based Reference Governors (LRGs) to ensure state constraint satisfaction for first-order systems wit…
Model Predictive Control of Diesel Engine Emissions Based on Neural Network Modeling
Jiadi Zhang, Xiao Li, Ilya Kolmanovsky +2
This paper addresses the control of diesel engine nitrogen oxides (NOx) and Soot emissions through the application of Model Predictive Control (MPC). The developments described in…
Modeling and Control of Diesel Engine Emissions using Multi-layer Neural Networks and Economic Model Predictive Control
Jiadi Zhang, Xiao Li, Mohammad Reza Amini +3
This paper presents the results of developing a multi-layer Neural Network (NN) to represent diesel engine emissions and integrating this NN into control design. Firstly, a NN is t…
Robust Model Predictive Control for Enhanced Fast Charging on Electric Vehicles through Integrated Power and Thermal Management
Qiuhao Hu, Mohammad Reza Amini, Ashley Wiese +2
This paper explores the synergies between integrated power and thermal management (iPTM) and battery charging in an electric vehicle (EV). A multi-objective model predictive contro…
Robust Adaptive MPC Using Uncertainty Compensation
Ran Tao, Pan Zhao, Ilya Kolmanovsky +1
This paper presents an uncertainty compensation-based robust adaptive model predictive control (MPC) framework for linear systems with both matched and unmatched nonlinear uncertai…