Nasser L. Azad

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 59

Top Topics

Predictive Control

Firefly Algorithm

Electric Vehicles

Top Venues

J. Exp. Theor. Artif. Intell.

Publications

Sajjad Kazemi, Nasser L. Azad, Katharine Andrea Scott, Haroon B. Oqab, George B. Dietrich
Satellite Collision Avoidance Maneuver Planning in Low Earth Orbit Using Proximal Policy Optimization. CEC (2024)
Jiaiq Liu, Nasser L. Azad, Ting Qu
An Optimization-based Coordination of Multi-lane Platoons of Connected and Automated Trucks for Reducing Travel Time. ITSC (2023)
Milad Farsi, Shuhao Bian, Nasser L. Azad, Xiaobing Shi, Andrew Walenstein
An Efficient Resilient MPC Scheme via Constraint Tightening against Cyberattacks: Application to Vehicle Cruise Control. CoRR (2023)
Sina Alighanbari, Nasser L. Azad
Deep Reinforcement Learning With NMPC Assistance Nash Switching for Urban Autonomous Driving. IEEE Trans. Intell. Veh. 8 (3) (2023)
Milad Farsi, Shuhao Bian, Nasser L. Azad, Xiaobing Shi, Andrew Walenstein
An Efficient Resilient MPC Scheme via Constraint Tightening Against Cyberattacks: Application to Vehicle Cruise Control. ICINCO (1) (2023)
Jinggang Zhang, Xinxin Zhao, Nasser L. Azad
LSTM-based adaptive energy management of connected hybrid mining trucks for improving fuel efficiency. ITSC (2022)
Abbas S. Milani, Hamid Khayyam, Hormoz Marzbani, William Melek, Nasser L. Azad, Reza N. Jazar
Smart Autodriver Algorithm for Real-Time Autonomous Vehicle Trajectory Control. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Yuan Lin, John McPhee, Nasser L. Azad
Co-Optimization of On-Ramp Merging and Plug-In Hybrid Electric Vehicle Power Split Using Deep Reinforcement Learning. CoRR (2022)
Yuan Lin, John McPhee, Nasser L. Azad
Co-Optimization of On-Ramp Merging and Plug-In Hybrid Electric Vehicle Power Split Using Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 71 (7) (2022)
Yuan Lin, John McPhee, Nasser L. Azad
Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control. IEEE Trans. Intell. Veh. 6 (2) (2021)
Sina Alighanbari, Nasser L. Azad
Safe Adaptive Deep Reinforcement Learning for Autonomous Driving in Urban Environments. Additional Filter? How and Where? IEEE Access 9 (2021)
Mohammad Hossein Basiri, Nasser L. Azad, Sebastian Fischmeister
Distributed Time-varying Kalman Filter Design and Estimation over Wireless Sensor Networks Using OWA Sensor Fusion Technique. MED (2020)
Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister, Fakhri Karray, Mark Crowley
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. CoRR (2020)
Sina Alighanbari, Nasser L. Azad
Multi-Vehicle Coordination and Real-time Control of Connected and Automated Vehicles at Roundabouts. CAVS (2020)
Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister, Fakhri Karray, Mark Crowley
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. CDC (2020)
Sadegh Tajeddin, Sanaz Ekhtiari, Mohammad Reza Faieghi, Nasser L. Azad
Ecological Adaptive Cruise Control With Optimal Lane Selection in Connected Vehicle Environments. IEEE Trans. Intell. Transp. Syst. 21 (11) (2020)
Yuan Lin, John McPhee, Nasser L. Azad
Anti-Jerk On-Ramp Merging Using Deep Reinforcement Learning. IV (2020)
Mohammad Hossein Basiri, Nasser L. Azad, Sebastian Fischmeister
Attack Resilient Heterogeneous Vehicle Platooning Using Secure Distributed Nonlinear Model Predictive Control. MED (2020)
Yuan Lin, John McPhee, Nasser L. Azad
Longitudinal Dynamic versus Kinematic Models for Car-following Control Using Deep Reinforcement Learning. CoRR (2019)
Sina Alighanbari, Nasser L. Azad
Ecological NMPC Controller for Connected and Automated Plug-in Hybrid Electric Vehicles at Roundabouts. IV (2019)
Yuan Lin, John McPhee, Nasser L. Azad
Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control. CoRR (2019)
Mohammad Hossein Basiri, Mohammad Pirani, Nasser L. Azad, Sebastian Fischmeister
Security of Vehicle Platooning: A Game-Theoretic Approach. IEEE Access 7 (2019)
Yuan Lin, John McPhee, Nasser L. Azad
Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning. ITSC (2019)
Yuan Lin, John McPhee, Nasser L. Azad
Decision-Making and Control for Freeway On-Ramp Merging Using Deep Reinforcement Learning. CoRR (2019)
Mohit Batra, Anson Maitland, John McPhee, Nasser L. Azad
Non-Linear Model Predictive Anti-Jerk Cruise Control for Electric Vehicles with Slip-Based Constraints. ACC (2018)
Bijan Sakhdari, Nasser L. Azad
A Distributed Reference Governor Approach to Ecological Cooperative Adaptive Cruise Control. IEEE Trans. Intell. Transp. Syst. 19 (5) (2018)
Bijan Sakhdari, Nasser L. Azad
Adaptive Tube-Based Nonlinear MPC for Economic Autonomous Cruise Control of Plug-In Hybrid Electric Vehicles. IEEE Trans. Veh. Technol. 67 (12) (2018)
Bijan Sakhdari, Nasser L. Azad
Adaptive Tube-based Nonlinear MPC for Ecological Autonomous Cruise Control of Plug-in Hybrid Electric Vehicles. CoRR (2018)
Sadegh Tajeddin, Nasser L. Azad
Ecological Cruise Control of a Plug-in Hybrid Electric Vehicle: A comparison of different GMRES-based Nonlinear Model Predictive Controls. ACC (2017)
Parisa Golchoubian, Nasser L. Azad, Kumaraswamy Ponnambalam
Stochastic nonlinear model predictive control of battery-supercapacitor hybrid energy storage systems in electric vehicles. ACC (2017)
Yasaman Masoudi, Nasser L. Azad
MPC-based battery thermal management controller for Plug-in hybrid electric vehicles. ACC (2017)
Mohit Batra, John McPhee, Nasser L. Azad
Anti-jerk model predictive cruise control for connected electric vehicles with changing road conditions. ASCC (2017)
Ahmad Mozaffari, Mahdi Emami, Nasser L. Azad, Alireza Fathi
Comparisons of several variants of continuous quantum-inspired evolutionary algorithms. J. Exp. Theor. Artif. Intell. 29 (4) (2017)
Ahmad Mozaffari, Nasser L. Azad
Empirical investigation and analysis of the computational potentials of bio-inspired nonlinear model predictive controllers: success and challenges. Int. J. Bio Inspired Comput. 9 (1) (2017)
Ahmad Mozaffari, K. Andrea Scott, Shoja'eddin Chenouri, Nasser L. Azad
A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickness. Soft Comput. 21 (16) (2017)
Ahmad Mozaffari, K. Andrea Scott, Nasser L. Azad, Shoja'eddin Chenouri
A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness. Appl. Intell. 46 (1) (2017)
Bijan Sakhdari, Ebrahim Moradi Shahrivar, Nasser L. Azad
Robust tube-based MPC for automotive adaptive cruise control design. ITSC (2017)
Parisa Golchoubian, Nasser L. Azad
Real-Time Nonlinear Model Predictive Control of a Battery-Supercapacitor Hybrid Energy Storage System in Electric Vehicles. IEEE Trans. Veh. Technol. 66 (11) (2017)
Nasser L. Azad, Ahmad Mozaffari, Alireza Fathi
An optimal learning-based controller derived from Hamiltonian function combined with a cellular searching strategy for automotive coldstart emissions. Int. J. Mach. Learn. Cybern. 8 (3) (2017)
Ahmad Mozaffari, Nasser L. Azad, J. Karl Hedrick
A Nonlinear Model Predictive Controller With Multiagent Online Optimizer for Automotive Cold-Start Hydrocarbon Emission Reduction. IEEE Trans. Veh. Technol. 65 (6) (2016)
Mahyar Vajedi, Nasser L. Azad
Ecological Adaptive Cruise Controller for Plug-In Hybrid Electric Vehicles Using Nonlinear Model Predictive Control. IEEE Trans. Intell. Transp. Syst. 17 (1) (2016)
Ahmad Mozaffari, Nasser L. Azad
Cellular implementation of the great salmon run algorithm for designing a black-box identifier applied to engine coldstart modelling. Int. J. Comput. Appl. Technol. 54 (1) (2016)
Ahmad Mozaffari, Nasser L. Azad, Mahdi Emami, Alireza Fathi
Mixed continuous/binary quantum-inspired learning system with non-negative least square optimisation for automated design of regularised ensemble extreme learning machines. J. Exp. Theor. Artif. Intell. 28 (3) (2016)
Nasser L. Azad, Ahmad Mozaffari, J. Karl Hedrick
A hybrid switching predictive controller based on bi-level kernel-based ELM and online trajectory builder for automotive coldstart emissions reduction. Neurocomputing 173 (2016)
Bijan Sakhdari, Mahyar Vajedi, Nasser L. Azad
Ecological Adaptive Cruise Control of a plug-in hybrid electric vehicle for urban driving. ITSC (2016)
Ahmad Mozaffari, Nasser L. Azad
Self-controlled bio-inspired extreme learning machines for scalable regression and classification: a comprehensive analysis with some recommendations. Artif. Intell. Rev. 46 (2) (2016)
Ahmad Mozaffari, Nasser L. Azad, J. Karl Hedrick, Amir Taghavipour
A hybrid switching predictive controller with proportional integral derivative gains and GMDH neural representation of automotive engines for coldstart emission reductions. Eng. Appl. Artif. Intell. 48 (2016)
Mahdi Emami, Ahmad Mozaffari, Nasser L. Azad, Behrooz Rezaie
An empirical investigation into the effects of chaos on different types of evolutionary crossover operators for efficient global search in complicated landscapes. Int. J. Comput. Math. 93 (1) (2016)
Ahmad Mozaffari, Alireza Doosthoseini, Bijan Sakhdari, Mahyar Vajedi, Nasser L. Azad
Automotive coldstart emissions reduction using MIMO sliding mode control with actuator saturation. ACC (2016)
Nasser L. Azad
Online optimization of automotive engine coldstart hydrocarbon emissions control at idle conditions. J. Syst. Control. Eng. 229 (9) (2015)
Ahmad Mozaffari, Mahyar Vajedi, Nasser L. Azad
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. Neurocomputing 151 (2015)
Ahmad Mozaffari, Nasser L. Azad, Alireza Fathi
Simultaneous knowledge-based identification and optimization of PHEV fuel economy using hyper-level Pareto-based chaotic Lamarckian immune algorithm, MSBA and fuzzy programming. Int. J. Intell. Comput. Cybern. 8 (1) (2015)
Ahmad Mozaffari, Mehdi Emami, Nasser L. Azad, Alireza Fathi
A Modified SSLPS Algorithm with Logistic Pseudo-Random Sequence Generator for Improving the Performance of Neka Power Plant: A Comparative/Conceptual Analysis. Int. J. Appl. Evol. Comput. 6 (1) (2015)
Ahmad Mozaffari, Nasser L. Azad
A Soft Sensor Based on the Integration of Tikhonov Extreme Learning Machine and Accelerated Kernels for Real-Time Estimation of Automotive Catalyst Temperatures. Int. J. Comput. Intell. Appl. 14 (4) (2015)
Ahmad Mozaffari, Nasser L. Azad
Coupling Gaussian generalised regression neural network and mutable smart bee algorithm to analyse the characteristics of automotive engine coldstart hydrocarbon emission. J. Exp. Theor. Artif. Intell. 27 (3) (2015)
Ahmad Mozaffari, Mahdi Emami, Nasser L. Azad, Alireza Fathi
On the efficacy of chaos-enhanced heuristic walks with nature-based controllers for robust and accurate intelligent search, part A: an experimental analysis. J. Exp. Theor. Artif. Intell. 27 (4) (2015)
Amir Taghavipour, Nasser L. Azad, John McPhee
Multi-parametric energy management system with reduced computational complexity for plug-in hybrid electric vehicles. ECC (2015)
Ahmad Mozaffari, Nasser L. Azad
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. Appl. Soft Comput. 32 (2015)
Ahmad Mozaffari, Nasser L. Azad, Alireza Fathi
Auto-regressive multiple-valued logic neurons with sequential Chua's oscillator back-propagation learning for online prediction and synchronization of chaotic trajectories. Int. J. Intell. Comput. Cybern. 8 (2) (2015)
Ahmad Mozaffari, Nasser L. Azad
Coupling a chaotically encoded firefly algorithm with ranking to a physics-based mathematical model for robust optimisation of a gas turbine energy system. Int. J. Math. Model. Numer. Optimisation 5 (4) (2014)
Ahmad Mozaffari, Mahyar Vajedi, Nasser L. Azad
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. Int. J. Math. Model. Numer. Optimisation 5 (4) (2014)
Mahyar Vajedi, Amir Taghavipour, Nasser L. Azad, John McPhee
A comparative analysis of route-based power management strategies for real-time application in plug-in hybrid electric vehicles. ACC (2014)
Ahmad Mozaffari, Maryyeh Chehresaz, Nasser L. Azad
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. Int. J. Bio Inspired Comput. 6 (5) (2014)
Ahmad Mozaffari, Nasser L. Azad
Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification. Neurocomputing 131 (2014)
Ahmad Mozaffari, Maryyeh Chehresaz, Nasser L. Azad
Component sizing of a plug-in hybrid electric vehicle powertrain, Part A: coupling bio-inspired techniques to meshless variable-fidelity surrogate models. Int. J. Bio Inspired Comput. 5 (6) (2013)
C. Beg, Mahyar Vajedi, Mohammad-Reza Nezhad-Ahmadi, Nasser L. Azad, Safieddin Safavi-Naeini
A cost-effective radar system for automotive powertrain control applications. ITSC (2012)
Reza Razavian, Nasser L. Azad, John McPhee
On real-time optimal control of a series Hybrid Electric Vehicle with an ultra-capacitor. ACC (2012)
Nasser L. Azad, Pannag R. Sanketi, J. Karl Hedrick
Sliding mode control with bounded inputs and its application to automotive coldstart emissions reduction. ACC (2012)
Naser Mehrabi, Nasser L. Azad, John McPhee
Optimal disturbance rejection control design for Electric Power Steering systems. CDC/ECC (2011)