Nasser L. Azad

According to our database1, Nasser L. Azad authored at least 55 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers.
CoRR, 2020

Distributed Time-varying Kalman Filter Design and Estimation over Wireless Sensor Networks Using OWA Sensor Fusion Technique.
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020

Attack Resilient Heterogeneous Vehicle Platooning Using Secure Distributed Nonlinear Model Predictive Control.
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020

2019
Sensitivity Analysis of a Real-Time Trip Planning Assisted Energy Management System for Connected Plug-In Hybrid Electric Vehicles.
IEEE Trans. Veh. Technol., 2019

Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control.
CoRR, 2019

Decision-Making and Control for Freeway On-Ramp Merging Using Deep Reinforcement Learning.
CoRR, 2019

Security of Vehicle Platooning: A Game-Theoretic Approach.
IEEE Access, 2019

Ecological NMPC Controller for Connected and Automated Plug-in Hybrid Electric Vehicles at Roundabouts.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Adaptive Tube-Based Nonlinear MPC for Economic Autonomous Cruise Control of Plug-In Hybrid Electric Vehicles.
IEEE Trans. Veh. Technol., 2018

A Distributed Reference Governor Approach to Ecological Cooperative Adaptive Cruise Control.
IEEE Trans. Intell. Transp. Syst., 2018

Adaptive Tube-based Nonlinear MPC for Ecological Autonomous Cruise Control of Plug-in Hybrid Electric Vehicles.
CoRR, 2018

Non-Linear Model Predictive Anti-Jerk Cruise Control for Electric Vehicles with Slip-Based Constraints.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Real-Time Nonlinear Model Predictive Control of a Battery-Supercapacitor Hybrid Energy Storage System in Electric Vehicles.
IEEE Trans. Veh. Technol., 2017

A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickness.
Soft Comput., 2017

An optimal learning-based controller derived from Hamiltonian function combined with a cellular searching strategy for automotive coldstart emissions.
Int. J. Mach. Learn. Cybern., 2017

Comparisons of several variants of continuous quantum-inspired evolutionary algorithms.
J. Exp. Theor. Artif. Intell., 2017

Empirical investigation and analysis of the computational potentials of bio-inspired nonlinear model predictive controllers: success and challenges.
Int. J. Bio Inspired Comput., 2017

A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness.
Appl. Intell., 2017

Robust tube-based MPC for automotive adaptive cruise control design.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Anti-jerk model predictive cruise control for connected electric vehicles with changing road conditions.
Proceedings of the 11th Asian Control Conference, 2017

Ecological Cruise Control of a Plug-in Hybrid Electric Vehicle: A comparison of different GMRES-based Nonlinear Model Predictive Controls.
Proceedings of the 2017 American Control Conference, 2017

MPC-based battery thermal management controller for Plug-in hybrid electric vehicles.
Proceedings of the 2017 American Control Conference, 2017

Stochastic nonlinear model predictive control of battery-supercapacitor hybrid energy storage systems in electric vehicles.
Proceedings of the 2017 American Control Conference, 2017

2016
A Nonlinear Model Predictive Controller With Multiagent Online Optimizer for Automotive Cold-Start Hydrocarbon Emission Reduction.
IEEE Trans. Veh. Technol., 2016

Ecological Adaptive Cruise Controller for Plug-In Hybrid Electric Vehicles Using Nonlinear Model Predictive Control.
IEEE Trans. Intell. Transp. Syst., 2016

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., 2016

A hybrid switching predictive controller based on bi-level kernel-based ELM and online trajectory builder for automotive coldstart emissions reduction.
Neurocomputing, 2016

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., 2016

Cellular implementation of the great salmon run algorithm for designing a black-box identifier applied to engine coldstart modelling.
Int. J. Comput. Appl. Technol., 2016

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., 2016

Self-controlled bio-inspired extreme learning machines for scalable regression and classification: a comprehensive analysis with some recommendations.
Artif. Intell. Rev., 2016

Ecological Adaptive Cruise Control of a plug-in hybrid electric vehicle for urban driving.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Automotive coldstart emissions reduction using MIMO sliding mode control with actuator saturation.
Proceedings of the 2016 American Control Conference, 2016

2015
Online optimization of automotive engine coldstart hydrocarbon emissions control at idle conditions.
J. Syst. Control. Eng., 2015

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., 2015

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., 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.
Neurocomputing, 2015

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., 2015

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., 2015

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., 2015

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., 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.
Appl. Soft Comput., 2015

Multi-parametric energy management system with reduced computational complexity for plug-in hybrid electric vehicles.
Proceedings of the European Control Conference, 2015

2014
Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification.
Neurocomputing, 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.
Int. J. Math. Model. Numer. Optimisation, 2014

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, 2014

Regularized machine learning through constraint swarm and evolutionary computation applied to regression problems.
Int. J. Intell. Comput. Cybern., 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.
Int. J. Bio Inspired Comput., 2014

A comparative analysis of route-based power management strategies for real-time application in plug-in hybrid electric vehicles.
Proceedings of the American Control Conference, 2014

2013
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., 2013

2012
A cost-effective radar system for automotive powertrain control applications.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

On real-time optimal control of a series Hybrid Electric Vehicle with an ultra-capacitor.
Proceedings of the American Control Conference, 2012

Sliding mode control with bounded inputs and its application to automotive coldstart emissions reduction.
Proceedings of the American Control Conference, 2012

2011
Optimal disturbance rejection control design for Electric Power Steering systems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011


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