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…
Integrated Adaptive Control and Reference Governors for Constrained Systems with State-Dependent Uncertainties
Pan Zhao, Ilya Kolmanovsky, Naira Hovakimyan
This paper presents an adaptive reference governor (RG) framework for a linear system with matched nonlinear uncertainties that can depend on both time and states, subject to both…
Benefits of Feedforward for Model Predictive Airpath Control of Diesel Engines
Jiadi Zhang, Mohammad Reza Amini, Ilya Kolmanovsky +2
This paper investigates options to complement a diesel engine airpath feedback controller with a feedforward. The control objective is to track the intake manifold pressure and exh…
MPC-Based Emergency Vehicle-Centered Multi-Intersection Traffic Control
Mehdi Hosseinzadeh, Bruno Sinopoli, Ilya Kolmanovsky +1
This paper proposes a traffic control scheme to alleviate traffic congestion in a network of interconnected signaled lanes/roads. The proposed scheme is emergency vehicle-centered,…
Implementing Optimization-Based Control Tasks in Cyber-Physical Systems With Limited Computing Capacity
Mehdi Hosseinzadeh, Bruno Sinopoli, Ilya Kolmanovsky +1
A common aspect of today's cyber-physical systems is that multiple optimization-based control tasks may execute in a shared processor. Such control tasks make use of online optimiz…
Development of a Model Predictive Airpath Controller for a Diesel Engine on a High-Fidelity Engine Model with Transient Thermal Dynamics
Jiadi Zhang, Mohammad Reza Amini, Ilya Kolmanovsky +2
This paper presents the results of a model predictive controller (MPC) development for diesel engine air-path regulation. The control objective is to track the intake manifold pres…
Experimental Validation of Eco-Driving and Eco-Heating Strategies for Connected and Automated HEVs
Mohammad Reza Amini, Qiuhao Hu, Hao Wang +3
This paper presents experimental results that validate eco-driving and eco-heating strategies developed for connected and automated vehicles (CAVs). By exploiting vehicle-to-infras…
Integrated Power and Thermal Management of Connected HEVs via Multi-Horizon MPC
Qiuhao Hu, Mohammad Reza Amini, Hao Wang +2
In this paper, a multi-horizon model predictive controller (MH-MPC) is developed for integrated power and thermal management (iPTM) of a power-split hybrid electric vehicle (HEV).…
Combined Energy and Comfort Optimization of Air Conditioning System in Connected and Automated Vehicles
Hao Wang, Mohammad Reza Amini, Ziyou Song +2
In this paper, we propose a combined energy and comfort optimization (CECO) strategy for the air conditioning (A/C) system of the connected and automated vehicles (CAVs). By levera…
Robust Hierarchical MPC for Handling Long Horizon Demand Forecast Uncertainty with Application to Automotive Thermal Management
Mohammad Reza Amini, Ilya Kolmanovsky, Jing Sun
This paper presents a robust hierarchical MPC (H-MPC) for dynamic systems with slow states subject to demand forecast uncertainty. The H-MPC has two layers: (i) the scheduling MPC…
MPC-Based Precision Cooling Strategy (PCS) for Efficient Thermal Management of Automotive Air Conditioning System
Hao Wang, Yan Meng, Quansheng Zhang +4
In this paper, we propose an MPC-based precision cooling strategy (PCS) for energy efficient thermal management of automotive air conditioning (A/C) system. The proposed PCS is abl…
Integrated Optimization of Power Split, Engine Thermal Management, and Cabin Heating for Hybrid Electric Vehicles
Xun Gong, Hao Wang, Mohammad Reza Amini +2
Cabin heating demand and engine efficiency degradation in cold weather lead to considerable increase in fuel consumption of hybrid electric vehicles (HEVs), especially in congested…
Thermal Responses of Connected HEVs Engine and Aftertreatment Systems to Eco-Driving
Mohammad Reza Amini, Yiheng Feng, Hao Wang +2
Connected and automated vehicles (CAVs) have been recognized as providing unprecedented opportunities for substantial fuel economy improvement through CAV-based vehicle speed traje…
Sequential Optimization of Speed, Thermal Load, and Power Split in Connected HEVs
Mohammad Reza Amini, Xun Gong, Yiheng Feng +3
The emergence of connected and automated vehicles (CAVs) provides an unprecedented opportunity to capitalize on these technologies well beyond their original designed intents. Whil…
Two-Layer Model Predictive Battery Thermal and Energy Management Optimization for Connected and Automated Electric Vehicles
Mohammad Reza Amini, Jing Sun, Ilya Kolmanovsky
Future vehicles are expected to be able to exploit increasingly the connected driving environment for efficient, comfortable, and safe driving. Given relatively slow dynamics assoc…
Zonotope-based Set-membership Parameter Identification of Linear Systems with Additive and Multiplicative Uncertainties and Its Application to Engine Condition Monitoring
Hao Wang, Ilya Kolmanovsky, Jing Sun
In this paper, we develop two zonotope-based set-membership estimation algorithms for identification of time-varying parameters in linear models, where both additive and multiplica…