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Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control

IEEE transactions on intelligent vehicles, 2021-06, Vol.6 (2), p.221-231

2021

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Security‐aware optimal actuator placement in vehicle platooning

Asian journal of control, 2022-07, Vol.24 (4), p.1557-1574

2022

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Real-Time Nonlinear Model Predictive Control of a Battery–Supercapacitor Hybrid Energy Storage System in Electric Vehicles

IEEE transactions on vehicular technology, 2017-11, Vol.66 (11), p.9678-9688

2017

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Autonomous Vehicle Decision-Making and Control in Complex and Unconventional Scenarios—A Review

Machines (Basel), 2023-07, Vol.11 (7), p.676

2023

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Safe Adaptive Deep Reinforcement Learning for Autonomous Driving in Urban Environments. Additional Filter? How and Where?

IEEE access, 2021, Vol.9, p.141347-141359

2021

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Adaptive Tube-Based Nonlinear MPC for Economic Autonomous Cruise Control of Plug-In Hybrid Electric Vehicles

IEEE transactions on vehicular technology, 2018-12, Vol.67 (12), p.11390-11401

2018

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Security of Vehicle Platooning: A Game-Theoretic Approach

IEEE access, 2019, Vol.7, p.185565-185579

2019

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A Distributed Reference Governor Approach to Ecological Cooperative Adaptive Cruise Control

IEEE transactions on intelligent transportation systems, 2018-05, Vol.19 (5), p.1496-1507

2018

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Co-Optimization of On-Ramp Merging and Plug-In Hybrid Electric Vehicle Power Split Using Deep Reinforcement Learning

IEEE transactions on vehicular technology, 2022-07, Vol.71 (7), p.6958-6968

2022

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Intelligent Control of Connected Plug-in Hybrid Electric Vehicles

1st ed. 2019., 2018

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Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification

Neurocomputing (Amsterdam), 2014-05, Vol.131, p.143-156

2014

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Real-time model predictive control of connected electric vehicles

Vehicle system dynamics, 2019-11, Vol.57 (11), p.1720-1743

2019

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Deep Reinforcement Learning With NMPC Assistance Nash Switching for Urban Autonomous Driving

IEEE transactions on intelligent vehicles, 2023-03, Vol.8 (3), p.2604-2615

2023

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Real-time predictive control strategy for a plug-in hybrid electric powertrain

Mechatronics (Oxford), 2015-08, Vol.29, p.13-27

2015

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Calibration of catalyst temperature in automotive engines over coldstart operation in the presence of different random noises and uncertainty： Implementation of generalized Gaussian process regression machine

Frontiers of Mechanical Engineering, 2015-12, Vol.10 (4), p.405-412

2015

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A stochastic power management strategy with skid avoidance for improving energy efficiency of in-wheel motor electric vehicles

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2019-04, Vol.233 (5), p.1306-1319

2019

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A Nonlinear Model Predictive Controller With Multiagent Online Optimizer for Automotive Cold-Start Hydrocarbon Emission Reduction

IEEE transactions on vehicular technology, 2016-06, Vol.65 (6), p.4548-4563

2016

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Design and evaluation of an observer-based disturbance rejection controller for electric power steering systems

Proceedings of the Institution of Mechanical Engineers. Part D, Journal of automobile engineering, 2016-06, Vol.230 (7), p.867-884

2016

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A Comparative Analysis of Route-Based Energy Management Systems for Phevs

Asian journal of control, 2016-01, Vol.18 (1), p.29-39

2016

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Online optimization of automotive engine coldstart hydrocarbon emissions control at idle conditions

Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering, 2015-10, Vol.229 (9), p.781-796

Azad, Nasser L

2015

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Multi-objective component sizing of a power-split plug-in hybrid electric vehicle powertrain using Pareto-based natural optimization machines

Engineering optimization, 2016-03, Vol.48 (3), p.361-379

2016

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Self-controlled bio-inspired extreme learning machines for scalable regression and classification: a comprehensive analysis with some recommendations

The Artificial intelligence review, 2016-08, Vol.46 (2), p.167-223

2016

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Design and evaluation of a predictive powertrain control system for a plug-in hybrid electric vehicle to improve the fuel economy and the emissions

Proceedings of the Institution of Mechanical Engineers. Part D, Journal of automobile engineering, 2015-04, Vol.229 (5), p.624-640

2015

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An optimal learning-based controller derived from Hamiltonian function combined with a cellular searching strategy for automotive coldstart emissions

International journal of machine learning and cybernetics, 2017-06, Vol.8 (3), p.955-979

2017

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A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickness

Soft computing (Berlin, Germany), 2017-08, Vol.21 (16), p.4635-4659

2017

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Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control

Security‐aware optimal actuator placement in vehicle platooning

Real-Time Nonlinear Model Predictive Control of a Battery–Supercapacitor Hybrid Energy Storage System in Electric Vehicles

Autonomous Vehicle Decision-Making and Control in Complex and Unconventional Scenarios—A Review

Safe Adaptive Deep Reinforcement Learning for Autonomous Driving in Urban Environments. Additional Filter? How and Where?

Adaptive Tube-Based Nonlinear MPC for Economic Autonomous Cruise Control of Plug-In Hybrid Electric Vehicles

Security of Vehicle Platooning: A Game-Theoretic Approach

A Distributed Reference Governor Approach to Ecological Cooperative Adaptive Cruise Control

Co-Optimization of On-Ramp Merging and Plug-In Hybrid Electric Vehicle Power Split Using Deep Reinforcement Learning

Intelligent Control of Connected Plug-in Hybrid Electric Vehicles

Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification

Real-time model predictive control of connected electric vehicles

Deep Reinforcement Learning With NMPC Assistance Nash Switching for Urban Autonomous Driving

Real-time predictive control strategy for a plug-in hybrid electric powertrain

Calibration of catalyst temperature in automotive engines over coldstart operation in the presence of different random noises and uncertainty： Implementation of generalized Gaussian process regression machine

A stochastic power management strategy with skid avoidance for improving energy efficiency of in-wheel motor electric vehicles

A Nonlinear Model Predictive Controller With Multiagent Online Optimizer for Automotive Cold-Start Hydrocarbon Emission Reduction

Design and evaluation of an observer-based disturbance rejection controller for electric power steering systems

A Comparative Analysis of Route-Based Energy Management Systems for Phevs

Online optimization of automotive engine coldstart hydrocarbon emissions control at idle conditions

Multi-objective component sizing of a power-split plug-in hybrid electric vehicle powertrain using Pareto-based natural optimization machines

Self-controlled bio-inspired extreme learning machines for scalable regression and classification: a comprehensive analysis with some recommendations

Design and evaluation of a predictive powertrain control system for a plug-in hybrid electric vehicle to improve the fuel economy and the emissions

An optimal learning-based controller derived from Hamiltonian function combined with a cellular searching strategy for automotive coldstart emissions

A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickness

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