Optimal disturbance rejection control design for Electric Power Steering systems. - Naser Mehrabi; Nasser L. Azad; John McPhee 001 (CDC/ECC, 2011)

Sliding mode control with bounded inputs and its application to automotive coldstart emissions reduction. - Nasser L. Azad; Pannag R. Sanketi; J. Karl Hedrick (ACC, 2012)

On real-time optimal control of a series Hybrid Electric Vehicle with an ultra-capacitor. - Reza Razavian; Nasser L. Azad; John McPhee 001 (ACC, 2012)

A cost-effective radar system for automotive powertrain control applications. - C. Beg; Mahyar Vajedi; Mohammad-Reza Nezhad-Ahmadi; Nasser L. Azad; Safieddin Safavi-Naeini (ITSC, 2012)

Component sizing of a plug-in hybrid electric vehicle powertrain, Part A: coupling bio-inspired techniques to meshless variable-fidelity surrogate models. - Ahmad Mozaffari; Maryyeh Chehresaz; Nasser L. Azad (Int. J. Bio Inspired Comput., 2013)

A comparative analysis of route-based power management strategies for real-time application in plug-in hybrid electric vehicles. - Mahyar Vajedi; Amir Taghavipour; Nasser L. Azad; John McPhee 001 (ACC, 2014)

Component sizing of a plug-in hybrid electric vehicle powertrain, Part B: coupling bee-inspired metaheuristics to ensemble of local neuro-fuzzy radial basis identifiers. - Ahmad Mozaffari; Maryyeh Chehresaz; Nasser L. Azad (Int. J. Bio Inspired Comput., 2014)

Regularized machine learning through constraint swarm and evolutionary computation applied to regression problems. - Ahmad Mozaffari; Nasser Lashgarian Azad; Alireza Fathi (Int. J. Intell. Comput. Cybern., 2014)

Coupling a chaotically encoded firefly algorithm with ranking to a physics-based mathematical model for robust optimisation of a gas turbine energy system. - Ahmad Mozaffari; Nasser L. Azad (Int. J. Math. Model. Numer. Optimisation, 2014)

Implementation of a fast non-dominated sorting firefly algorithm and a vehicle simulation model for multi-objective component sizing of a power-split PHEV powertrain: a comparative numerical study. - Ahmad Mozaffari; Mahyar Vajedi; Nasser L. Azad (Int. J. Math. Model. Numer. Optimisation, 2014)

Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification. - Ahmad Mozaffari; Nasser L. Azad (Neurocomputing, 2014)

Multi-parametric energy management system with reduced computational complexity for plug-in hybrid electric vehicles. - Amir Taghavipour; Nasser L. Azad; John McPhee 001 (ECC, 2015)

An ensemble neuro-fuzzy radial basis network with self-adaptive swarm based supervisor and negative correlation for modeling automotive engine coldstart hydrocarbon emissions: A soft solution to a crucial automotive problem. - Ahmad Mozaffari; Nasser L. Azad (Appl. Soft Comput., 2015)

A Modified SSLPS Algorithm with Logistic Pseudo-Random Sequence Generator for Improving the Performance of Neka Power Plant: A Comparative/Conceptual Analysis. - Ahmad Mozaffari; Mehdi Emami; Nasser L. Azad; Alireza Fathi (Int. J. Appl. Evol. Comput., 2015)

A Soft Sensor Based on the Integration of Tikhonov Extreme Learning Machine and Accelerated Kernels for Real-Time Estimation of Automotive Catalyst Temperatures. - Ahmad Mozaffari; Nasser L. Azad (Int. J. Comput. Intell. Appl., 2015)

Simultaneous knowledge-based identification and optimization of PHEV fuel economy using hyper-level Pareto-based chaotic Lamarckian immune algorithm, MSBA and fuzzy programming. - Ahmad Mozaffari; Nasser L. Azad; Alireza Fathi (Int. J. Intell. Comput. Cybern., 2015)

Auto-regressive multiple-valued logic neurons with sequential Chua's oscillator back-propagation learning for online prediction and synchronization of chaotic trajectories. - Ahmad Mozaffari; Nasser L. Azad; Alireza Fathi (Int. J. Intell. Comput. Cybern., 2015)

A robust safety-oriented autonomous cruise control scheme for electric vehicles based on model predictive control and online sequential extreme learning machine with a hyper-level fault tolerance-based supervisor. - Ahmad Mozaffari; Mahyar Vajedi; Nasser L. Azad (Neurocomputing, 2015)

Coupling Gaussian generalised regression neural network and mutable smart bee algorithm to analyse the characteristics of automotive engine coldstart hydrocarbon emission. - Ahmad Mozaffari; Nasser L. Azad (J. Exp. Theor. Artif. Intell., 2015)

On the efficacy of chaos-enhanced heuristic walks with nature-based controllers for robust and accurate intelligent search, part A: an experimental analysis. - Ahmad Mozaffari; Mahdi Emami; Nasser L. Azad; Alireza Fathi (J. Exp. Theor. Artif. Intell., 2015)

Online optimization of automotive engine coldstart hydrocarbon emissions control at idle conditions. - Nasser L. Azad (J. Syst. Control. Eng., 2015)

Automotive coldstart emissions reduction using MIMO sliding mode control with actuator saturation. - Ahmad Mozaffari; Alireza Doosthoseini; Bijan Sakhdari; Mahyar Vajedi; Nasser L. Azad (ACC, 2016)

Ecological Adaptive Cruise Control of a plug-in hybrid electric vehicle for urban driving. - Bijan Sakhdari; Mahyar Vajedi; Nasser L. Azad (ITSC, 2016)

Self-controlled bio-inspired extreme learning machines for scalable regression and classification: a comprehensive analysis with some recommendations. - Ahmad Mozaffari; Nasser L. Azad (Artif. Intell. Rev., 2016)

A hybrid switching predictive controller with proportional integral derivative gains and GMDH neural representation of automotive engines for coldstart emission reductions. - Ahmad Mozaffari; Nasser L. Azad; J. Karl Hedrick; Amir Taghavipour (Eng. Appl. Artif. Intell., 2016)

Cellular implementation of the great salmon run algorithm for designing a black-box identifier applied to engine coldstart modelling. - Ahmad Mozaffari; Nasser L. Azad (Int. J. Comput. Appl. Technol., 2016)

An empirical investigation into the effects of chaos on different types of evolutionary crossover operators for efficient global search in complicated landscapes. - Mahdi Emami; Ahmad Mozaffari; Nasser L. Azad; Behrooz Rezaie (Int. J. Comput. Math., 2016)

A hybrid switching predictive controller based on bi-level kernel-based ELM and online trajectory builder for automotive coldstart emissions reduction. - Nasser L. Azad; Ahmad Mozaffari; J. Karl Hedrick (Neurocomputing, 2016)

Mixed continuous/binary quantum-inspired learning system with non-negative least square optimisation for automated design of regularised ensemble extreme learning machines. - Ahmad Mozaffari; Nasser L. Azad; Mahdi Emami; Alireza Fathi (J. Exp. Theor. Artif. Intell., 2016)

Ecological Adaptive Cruise Controller for Plug-In Hybrid Electric Vehicles Using Nonlinear Model Predictive Control. - Mahyar Vajedi; Nasser L. Azad (IEEE Trans. Intell. Transp. Syst., 2016)

A Nonlinear Model Predictive Controller With Multiagent Online Optimizer for Automotive Cold-Start Hydrocarbon Emission Reduction. - Ahmad Mozaffari; Nasser L. Azad; J. Karl Hedrick (IEEE Trans. Veh. Technol., 2016)

Stochastic nonlinear model predictive control of battery-supercapacitor hybrid energy storage systems in electric vehicles. - Parisa Golchoubian; Nasser L. Azad; Kumaraswamy Ponnambalam (ACC, 2017)

MPC-based battery thermal management controller for Plug-in hybrid electric vehicles. - Yasaman Masoudi; Nasser L. Azad (ACC, 2017)

Ecological Cruise Control of a Plug-in Hybrid Electric Vehicle: A comparison of different GMRES-based Nonlinear Model Predictive Controls. - Sadegh Tajeddin; Nasser L. Azad (ACC, 2017)

Anti-jerk model predictive cruise control for connected electric vehicles with changing road conditions. - Mohit Batra; John McPhee 001; Nasser L. Azad (ASCC, 2017)

Robust tube-based MPC for automotive adaptive cruise control design. - Bijan Sakhdari; Ebrahim Moradi Shahrivar; Nasser L. Azad (ITSC, 2017)

A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness. - Ahmad Mozaffari; Katharine Andrea Scott; Nasser L. Azad; Shoja'eddin Chenouri (Appl. Intell., 2017)

Empirical investigation and analysis of the computational potentials of bio-inspired nonlinear model predictive controllers: success and challenges. - Ahmad Mozaffari; Nasser L. Azad (Int. J. Bio Inspired Comput., 2017)

Comparisons of several variants of continuous quantum-inspired evolutionary algorithms. - Ahmad Mozaffari; Mahdi Emami; Nasser L. Azad; Alireza Fathi (J. Exp. Theor. Artif. Intell., 2017)

An optimal learning-based controller derived from Hamiltonian function combined with a cellular searching strategy for automotive coldstart emissions. - Nasser L. Azad; Ahmad Mozaffari; Alireza Fathi (Int. J. Mach. Learn. Cybern., 2017)

A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickness. - Ahmad Mozaffari; Katharine Andrea Scott; Shoja'eddin Chenouri; Nasser L. Azad (Soft Comput., 2017)

Real-Time Nonlinear Model Predictive Control of a Battery-Supercapacitor Hybrid Energy Storage System in Electric Vehicles. - Parisa Golchoubian; Nasser L. Azad (IEEE Trans. Veh. Technol., 2017)

Non-Linear Model Predictive Anti-Jerk Cruise Control for Electric Vehicles with Slip-Based Constraints. - Mohit Batra; Anson Maitland; John McPhee 001; Nasser L. Azad (ACC, 2018)

Adaptive Tube-based Nonlinear MPC for Ecological Autonomous Cruise Control of Plug-in Hybrid Electric Vehicles. - Bijan Sakhdari; Nasser L. Azad (CoRR, 2018)

A Distributed Reference Governor Approach to Ecological Cooperative Adaptive Cruise Control. - Bijan Sakhdari; Nasser L. Azad (IEEE Trans. Intell. Transp. Syst., 2018)

Adaptive Tube-Based Nonlinear MPC for Economic Autonomous Cruise Control of Plug-In Hybrid Electric Vehicles. - Bijan Sakhdari; Nasser L. Azad (IEEE Trans. Veh. Technol., 2018)

Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning. - Yuan Lin; John McPhee 001; Nasser L. Azad (ITSC, 2019)

Ecological NMPC Controller for Connected and Automated Plug-in Hybrid Electric Vehicles at Roundabouts. - Sina Alighanbari; Nasser L. Azad (IV, 2019)

Security of Vehicle Platooning: A Game-Theoretic Approach. - Mohammad Hossein Basiri; Mohammad Pirani; Nasser L. Azad; Sebastian Fischmeister (IEEE Access, 2019)

Decision-Making and Control for Freeway On-Ramp Merging Using Deep Reinforcement Learning. - Yuan Lin; John McPhee 001; Nasser L. Azad (CoRR, 2019)

Sensitivity Analysis of a Real-Time Trip Planning Assisted Energy Management System for Connected Plug-In Hybrid Electric Vehicles. - Sanaz Ekhtiari; Mohammad Reza Faieghi; Nasser Lashgarian Azad (IEEE Trans. Veh. Technol., 2019)

Multi-Vehicle Coordination and Real-time Control of Connected and Automated Vehicles at Roundabouts. - Sina Alighanbari; Nasser L. Azad (CAVS, 2020)

Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. - Mohammad Hossein Basiri; Benyamin Ghojogh; Nasser L. Azad; Sebastian Fischmeister; Fakhri Karray; Mark Crowley 001 (CDC, 2020)

Anti-Jerk On-Ramp Merging Using Deep Reinforcement Learning. - Yuan Lin; John McPhee 001; Nasser L. Azad (IV, 2020)

Attack Resilient Heterogeneous Vehicle Platooning Using Secure Distributed Nonlinear Model Predictive Control. - Mohammad Hossein Basiri; Nasser L. Azad; Sebastian Fischmeister (MED, 2020)

Distributed Time-varying Kalman Filter Design and Estimation over Wireless Sensor Networks Using OWA Sensor Fusion Technique. - Mohammad Hossein Basiri; Nasser L. Azad; Sebastian Fischmeister (MED, 2020)

Ecological Adaptive Cruise Control With Optimal Lane Selection in Connected Vehicle Environments. - Sadegh Tajeddin; Sanaz Ekhtiari; Mohammad Reza Faieghi; Nasser L. Azad (IEEE Trans. Intell. Transp. Syst., 2020)

What are Social Norms for Low-speed Autonomous Vehicle Navigation in Crowded Environments? An Online Survey. - Mahsa Golchoubian; Moojan Ghafurian; Nasser Lashgarian Azad; Kerstin Dautenhahn (HAI, 2021)

Safe Adaptive Deep Reinforcement Learning for Autonomous Driving in Urban Environments. Additional Filter? How and Where? - Sina Alighanbari; Nasser L. Azad (IEEE Access, 2021)

Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control. - Yuan Lin; John McPhee 001; Nasser L. Azad (IEEE Trans. Intell. Veh., 2021)

Characterizing Structured Versus Unstructured Environments Based on Pedestrians' and Vehicles' Motion Trajectories. - Mahsa Golchoubian; Moojan Ghafurian; Nasser Lashgarian Azad; Kerstin Dautenhahn (ITSC, 2022)

LSTM-based adaptive energy management of connected hybrid mining trucks for improving fuel efficiency. - Jinggang Zhang; Xinxin Zhao; Nasser L. Azad (ITSC, 2022)

Smart Autodriver Algorithm for Real-Time Autonomous Vehicle Trajectory Control. - Abbas S. Milani; Hamid Khayyam; Hormoz Marzbani; William Melek; Nasser L. Azad; Reza N. Jazar (IEEE Trans. Intell. Transp. Syst., 2022)

Co-Optimization of On-Ramp Merging and Plug-In Hybrid Electric Vehicle Power Split Using Deep Reinforcement Learning. - Yuan Lin; John McPhee 001; Nasser L. Azad (IEEE Trans. Veh. Technol., 2022)

An Efficient Resilient MPC Scheme via Constraint Tightening Against Cyberattacks: Application to Vehicle Cruise Control. - Milad Farsi; Shuhao Bian; Nasser L. Azad; Xiaobing Shi; Andrew Walenstein (ICINCO (1), 2023)

Zeroth-Order Optimization Attacks on Deep Reinforcement Learning-Based Lane Changing Algorithms for Autonomous Vehicles. - Dayu Zhang; Nasser Lashgarian Azad; Sebastian Fischmeister; Stefan Marksteiner (ICINCO (1), 2023)

Polar Collision Grids: Effective Interaction Modelling for Pedestrian Trajectory Prediction in Shared Space Using Collision Checks. - Mahsa Golchoubian; Moojan Ghafurian; Kerstin Dautenhahn; Nasser Lashgarian Azad (ITSC, 2023)

An Optimization-based Coordination of Multi-lane Platoons of Connected and Automated Trucks for Reducing Travel Time. - Jiaiq Liu; Nasser L. Azad; Ting Qu (ITSC, 2023)

Deep Reinforcement Learning With NMPC Assistance Nash Switching for Urban Autonomous Driving. - Sina Alighanbari; Nasser L. Azad (IEEE Trans. Intell. Veh., 2023)

Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review. - Mahsa Golchoubian; Moojan Ghafurian; Kerstin Dautenhahn; Nasser Lashgarian Azad (IEEE Trans. Intell. Transp. Syst., 2023)

Disturbance Propagation in Vehicle Platoons: Symmetric Bidirectional Interconnections. - Arash Farnam; Milad Farsi; Majid Ghorbani; Nasser Lashgarian Azad; Guillaume Crevecoeur (ACC, 2024)

Satellite Collision Avoidance Maneuver Planning in Low Earth Orbit Using Proximal Policy Optimization. - Sajjad Kazemi; Nasser L. Azad; Katharine Andrea Scott; Haroon B. Oqab; George B. Dietrich (CEC, 2024)

Data-Driven Intrusion Detection in Vehicles: Integrating Unscented Kalman Filter (UKF) with Machine Learning. - Shuhao Bian; Milad Farsi; Nasser L. Azad; Chris Hobbs (ICINCO (1), 2024)

Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space. - Mahsa Golchoubian; Moojan Ghafurian; Kerstin Dautenhahn; Nasser Lashgarian Azad (IEEE Trans. Intell. Veh., 2024)