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Lashgarian Azad, Nasser
Real-Time Nonlinear Model Predictive Control of a Battery–Supercapacitor Hybrid Energy Storage System in Electric Vehicles, P. Golchoubian, N. L. Azad. IEEE Transactions on Vehicular Technology 66 (11), pp. 9678-9688 (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. 2017 American Control Conference (ACC), pp. 3607 – 3612 (2017)
MPC-based battery thermal management controller for Plug-in hybrid electric vehicles, Yasaman Masoudi, Nasser L. Azad. 2017 American Control Conference (ACC), pp. 4365 – 4370 (2017)
Stochastic nonlinear model predictive control of battery-supercapacitor hybrid energy storage systems in electric vehicles, Parisa Golchoubian, Nasser L. Azad, Kumaraswamy Ponnambalam. 2017 American Control Conference (ACC), pp. 1648 - 1653 (2017)
L. Azad and A. Mozaffari 2014, “Biologically derived time-delay soft sensors for online monitoring of automotive engine coldstart operation: a comparative analysis with some recommendations”, Meccanica (in press).
Mozaffari and N. L. Azad, 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", Applied Soft Computing Vol.32, July 2015, pp.449-467.
L. Azad and A. Mozaffari, 2015, “Calibration of catalyst temperature in automotive engines over coldstart operation in the presence of different random noises and uncertainty”, Frontiers of Mechanical Engineering (in press).
Mozaffari and N. L. Azad, 2015, "Coupling gaussian generalized regression neural network and mutable smart bee algorithm to analyze the characteristics of automotive engine coldstart hydrocarbon emission", Journal of Experimental & Theoretical Artificial Intelligence, Vol.27, Issue 3, pp.253-272.
Mozaffari and N. L. Azad, 2014, "Cellular implementation of the great salmon run (TGSR) algorithm for designing a black-box identifier applied to engine coldstart modeling", International Journal of Computer Applications in Technology (in press).
Mozaffari and N. L. Azad, 2014, “A robust time delay auto-regressive exogenous fuzzy inference system for real-time estimation of catalyst temperature over engines coldstart operation: a multi-objective implementation scenario”, International Journal of Dynamics and Control, Oct. 2014.
Mozaffari and N. L. Azad, 2014, "Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification", Neurocomputing, Vol.131.
Taghavipour, N. L. Azad, and J. McPhee, 2015, “Real-time predictive control strategy for a plug-in hybrid electric powertrain”, Mechatronics (in press).
Vajedi and N. L. Azad, 2015, “Ecological adaptive cruise controller for plug-in hybrid electric vehicles using nonlinear model predictive control," IEEE Intelligent Transportation Systems Transactions (in press).
L. Azad, 2015, “On-line optimization of automotive engine coldstart hydrocarbon emissions control at idle conditions”, Proc. IMechE, Part I: Journal of Systems and Control Engineering (in press).
Zhao, N. L. Azad, and J. McPhee, 2015, “An optimal gear shifting strategy for heavy trucks with trade-off study between trip time and fuel economy”, International Journal of Heavy Vehicle Systems (in press).
Mozaffari, N. L. Azad, J. K. Hedrick, and A. Taghavipour, 2015, “A hybrid switching predictive controller with proportional integral derivative gains and GMDH neural representation of automotive engines for coldstart control”, Engineering Applications of Artificial Intelligence (in press).
L. Azad, A. Mozaffari, and J. K. Hedrick, 2015, “A hybrid switching predictive controller based on bi-level kernel-based auto-regressive extreme learning machine and online trajectory builder for automotive hydrocarbon emissions reduction”, Neurocomputing (in press).
Delkhosh, M. S. Foumani, N. L. Azad, and P. Rostami, 2015, “A new control strategy for hybrid electric vehicles equipped with continuously variable transmission”, Proc. IMechE, Part D: Journal of Automobile Engineering (in press).
Mehrabi, J. McPhee, and N. L. Azad, 2015, "Design and evaluation of an observer-based disturbance rejection controller for electric power steering systems", Proc. IMechE, Part D: Journal of Automobile Engineering (in press).
Taghavipour, M. Vajedi, N. L. Azad, and J. McPhee, 2015, “A comparative analysis of route-based energy management systems for PHEVs”, Asian Journal of Control (in press).
Mozaffari, M. Vajedi, and N. L. Azad, 2015, “Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information preview and neural network for plug-in hybrid electric vehicles fuel economy”, Frontiers of Mechanical Engineering (in press).
Taghavipour, N. L. Azad, and J. McPhee, 2015, "Design and evaluation of a predictive powertrain control system for a PHEV to improve fuel economy and emissions”, Proc. IMechE, Part D: Journal of Automobile Engineering, April 2015, Vol. 229.
Mozaffari, A. Mozaffari, and N. L. Azad, 2015, “Vehicle speed prediction via sliding-window time series analysis and evolutionary least learning machine: A case study on San-Francisco urban roads”, Engineering Science and Technology: an International Journal, Vol.18, Issue 2, June 2015, pp.150-162.
Mozaffari, M. Vajedi , and N. L. Azad, 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, Volume 151, Part 2.
Mozaffari, A. Scott, S. Chenouri, and Nasser L. Azad, 2015 “A modular ridge extreme learning machine with differential evolutionary distributor applied to the estimation of sea ice thickness”, Soft Computing (under review, SOCO-D-15-00906).
Mozaffari, A. Scott, N. L. Azad, and S. Chenouri, 2015, “A hierarchical selective ensemble extreme learning machine for estimation of sea-ice thickness”, Neurocomputing (under review, NEUCOM-D-15-01453).
Behzadipour, A. Mozaffari, B. Sakhdari, and N. L. Azad, 2015, “Assessing the safety of robot maneuvers in minimally invasive surgery through clustering 2D and 3D geometrical features using the great salmon run (TGSR) algorithm and a mixture of performance measures”, Frontiers of Computer Science (under review, FCS-15108).
M. Noudeh, A. Mozaffari, N. L. Azad, and F. Bakhtiari-Nejad, 2015, “Two hybrid mutable smart bee algorithms enhanced by Monte-Carlo initialization complexity and Taguchi orthogonal array method: performance and analysis”, International Journal of Intelligent Computing and Cybernetics (under review, IJICC-02-2015-0008).
Emami, A. Mozaffari, N. L. Azad, and A. Scott, 2014, "Continuous quantum-inspired evolutionary strategies: A systematic comparative analysis and evaluation of some novel chaos-based schemes", Journal of Experimental & Theoretical Artificial Intelligence (revised version under review).
L. Azad and A. Mozaffari, 2014, "Self-controlled bio-inspired globally evolved extreme learning machines: A comprehensive analysis with some recommendations", Artificial Intelligence Review (under review).
Delkhosh, M. S. Foumani, and N. L. Azad, 2015, “Optimization and comparison of different powertrain layouts for parallel hybrid electric vehicles equipped with continuous transmission”, Proc. IMechE, Part D: Journal of Automobile Engineering (under review, JAUTO-15-0237).
Chehresaz, M. Vajedi, A. Mozaffari, and N. L. Azad, 2015, "Component sizing of a power-split plug-in hybrid electric vehicle for optimal energy cost", Engineering Science and Technology: an International Journal (under review, JESTCH-D-15-00325).
L. Azad, A. Mozaffari, M. Vajedi, and Y. Masoudi, 2014, “Multi-objective component sizing of a power-split plug-in hybrid electric vehicle powertrain combined with optimal power management”, Engineering and Optimization (under review, OPTE-1044).
Taghavipour, R. Masoudi, N. L. Azad, and J. McPhee, 2015, “Real-time equation-based model of a plug-in hybrid powertrain for control evaluation”, International Journal of Automotive Technology (under review, IJAT-220150381).
L. Azad, A. Mozaffari, and P. Golchoubian, 2015, “A soft sensor based on the integration of Tikhonov regularized extreme learning machine and accelerated kernels applied to real-time identification of catalyst temperature over engine’s coldstart operation”, International Journal of Computational Intelligence and Applications (under review, IJCIA-6651433).
L. Azad, A. Mozaffari, and J. K. Hedrick, 2015, “A nonlinear model predictive controller for automotive coldstart hydrocarbon emissions reduction”, IEEE Transactions on Vehicular Technology (under review, VT-2015-01360).
L. Azad, A. Mozaffari, P. R. Sanketi, and J. K. Hedrick, 2015, “A sliding mode controller with actuator saturation for automotive engine coldstart exhaust gas temperature control under external disturbances”, International Journal of Control, Automation and Systems (under review, JCAS-D-15-00288).
L. Azad, A. Mozaffari, and J. K. Hedrick, 2015, “A preference-based nonlinear model predictive controller for automotive coldstart hydrocarbon emissions reduction”, Optimal Control, Applications and Methods (under review, OCAM-15-0043).
L. Azad and A. Mozaffari, 2015, “An optimal learning-based controller derived from Hamiltonian function and functional ELM combined with a cellular searching strategy for automotive engine coldstart hydrocarbon emission reduction”, International Journal of Machine Learning and Cybernetics (under review, JMLC-D-15-00258).
A M. Delkhosh, M. S. Foumani, and N. L. Azad, 2015, “A new method for improving control strategies of hybrid electric vehicles”, IEEE Transactions on Vehicular Technology (under review, VT-2015-01019)
L. Azad, A. Mozaffari, Y. Masoudi, and P. Golchoubian, 2015, “Empirical investigation and analysis of the computational potentials of bio-inspired nonlinear model predictive controllers: success and challenges”, International Journal of Bio-Inspired Computation (under review, IJBIC-111584).
L. Azad, A. Mozaffari, and J. K. Hedrick, 2015, “A gain scheduled linear quadratic tracking system tuned optimally by covariance matrix adaption evolutionary strategy for automotive engine coldstart control”, International Journal of Automotive Technology (under review).
L. Azad, A. Mozaffari, A. Hansen, and J. K. Hedrick, 2015, “A receding horizon sliding controller with online desired trajectory builder for automotive coldstart hydrocarbon emissions reduction”, Asian Journal of Control (under review, RR-15-0069).
Jalalmaab and N. L. Azad, 2015, “A stochastic power management strategy for improving energy efficiency of in-wheel motor electric vehicles”, Proc. IMechE, Part D: Journal of Automobile Engineering (under review, JAUTO-15-0261).
A. Taghavipour, R. Masoudi, N. L. Azad, and J. McPhee, 2015, “Control-relevant parameter estimation application to a model-based PHEV power management system”, Optimal Control, Applications and Methods (under review, OCAM-15-0092).
A. Mozaffari and N. L. Azad, 2013, "Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification", Neurocomputing (in press).
M. Vajedi, M. Chehresaz, and N. L. Azad, 2013, "Intelligent Power Management of Plug-in Hybrid Electric Vehicles, Part I: Real-time Optimum SOC Trajectory Builder", International Journal of Electric and Hybrid Vehicles (under review).
M. Vajedi, M. Chehresaz, and N. L. Azad, 2013, "Intelligent Power Management of Plug-in Hybrid Electric Vehicles, Part II: Real-time Route- based Power Management", International Journal of Electric and Hybrid Vehicles (under review).
A. Mozaffari, M. Chehresaz, and N. L. Azad, 2013, "Component sizing of a plug-in hybrid electric vehicle powertrain, part A: Coupling bio-inspired techniques to meshless variable-fidelity surrogate models", International Journal of Bio-Inspired Computing (under review).
A. Mozaffari, M. Chehresaz, and N. L. Azad, 2013, "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", International Journal of Bio-Inspired Computing (under review).
A. Taghavipour, N. L. Azad, and J. McPhee, 2013, "Design and Evaluation of a Predictive Powertrain Control System for a PHEV to Improve Fuel Economy and Emissions", IMechE, Part D: Journal of Automobile Engineering (under review).
A. Mozaffari and N. L. Azad, 2013, "An ensemble neuro-fuzzy radial basis network with self-adaptive swarm based supervisor anad negative correlation for modeling automotive engine coldstart hydrocarbon emmisions: A soft solution to a crucial aotomotive problem", Applied Soft Computing (under review).
A. Mozaffari and N. L. Azad, 2013, "Cellular implementation of the great salmon run (TGSR) algorithm for designing a black-box identifier applied to engine coldstart modeling", Expert Systems With Applications (under review).
A. Mozaffari, A. Fathi and N. L. Azad, 2013, "The great salmon run (TGSR): An efficient natural-inspired tool for constraint and unconstraint numerical optimization", Applied Soft Computing (under review).
R. S. Razavian, N. L. Azad and J. McPhee, 2013, "A Battery Hardware-in-the-Loop Setup for Concurrent Design and Evaluation of Real-Time Optimal HEV Power Management Controllers", International Journal of Electric and Hybrid Vehicles (in press).
H. Adibi-asl, N. L. Azad, and J. McPhee, 2013, "Math-based Torque Converter Modeling to Evaluate Damping Characteristics and Reverse Flow Mode Operation", International Journal of Vehicle Systems Modeling and Testing (in press).
N. L. Azad, P. R. Sanketi and J. K. Hedrick, 2012, "Determining Model Accuracy Requirements for Automotive Engine Coldstart Hydrocarbon Emissions Control", ASME Journal of Dynamic Systems, Measurement and Control, September 2012, Vol. 134.
A. Taghavipour, N. L. Azad and J. McPhee, 2012, "An Optimal Power Management Strategy for Power Split Plug-in Hybrid Electric Vehicles", International Journal of Vehicle Design, Vol.60, No.3-4, October 2012, pp. 286-304(19).
A. Taghavipour, N. L. Azad, and J. McPhee, 2012, "Design and Evaluation of a Predictive Powertrain Control System for a PHEV to Improve Fuel Economy and Emissions", International Journal of Vehicle Design (under review).
A. Taghavipour, N. L. Azad and J. McPhee, 2012, "An Optimal Power Management Strategy for Power Split Plug-in Hybrid Electric Vehicles", International Journal of Vehicle Design (in press).
http://web.ebscohost.com/ehost/detail?vid=4&sid=af93ae8c-2342-42c6-9296-8e7d1fee60bc%40sessionmgr113&hid=127&bdata=JnNpdGU9ZWhvc3QtbGl2ZSZzY29wZT1zaXRl#db=eoah&AN=28865928R. S. Razavian, A. Taghavipour, N. L. Azad, and J. McPhee, 2012, "Design and Evaluation of a Real-Time Optimal Control System for Series Hybrid Electric Vehicles", International Journal of Electric and Hybrid Vehicles (in press).
http://web.ebscohost.com/ehost/detail?vid=7&sid=af93ae8c-2342-42c6-9296-8e7d1fee60bc%40sessionmgr113&hid=127&bdata=JnNpdGU9ZWhvc3QtbGl2ZSZzY29wZT1zaXRl#db=eoah&AN=29010271M. Vajedi, A. Taghavipour, and N. L. Azad, 2012, "Traction-Motor Power Ratio and Speed Trajectory Optimization for Power-split PHEVs using Route Information", ASME 2012 International Mechanical Engineering Congress & Exposition, November 9-15, 2012, Houston, Texas, USA.
A. Taghavipour, M. Vajedi, N. L. Azad, and J. McPhee, 2012, "Predictive Power Management Strategy for a PHEV Based on Different Levels of Trip Information", 2012 IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling, France, October 2012.
R. S. Razavian, N. L. Azad and J. McPhee, 2012, "On Real-Time Optimal Control of a Series Hybrid Electric Vehicle", Invited session on Advanced Control of Electric Vehicles and Hybrid Electric Vehicles, 2012 American Control Conference, Montreal, Canada.
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6314831A. Taghavipour, N. L. Azad and J. McPhee, 2011, An Optimal Power Management Strategy for Power Split Plug-in Hybrid Electric Vehicles, accepted for publication in International Journal of Vehicle Design.
N. L. Azad, Pannag R. Sanketi and J. Karl Hedrick, 2011, Determining Model Accuracy Requirements for Automotive Engine Coldstart Hydrocarbon Emissions Control, accepted for publication in the ASME Journal of Dynamic Systems, Measurement and Control.
N. L. Azad, A. Khajepour and J. McPhee, 2009, A Survey of Stability Enhancement Strategies for Articulated Steer Vehicles, International Journal of Heavy Vehicle Systems, Vol. 16, Nos. 1/2, pp.26-48.
http://dx.doi.org/10.1504/IJHVS.2009.023853N. L. Azad, A. Khajepour and J. McPhee, 2007, Robust Variable Structure Control for Stabilization of Articulated Steer Vehicles by Torque Vectoring, International Journal of Heavy Vehicle Systems, Vol. 14, No.4, pp.331-354.
http://dx.doi.org/10.1504/IJHVS.2007.015706N. L. Azad, A. Khajepour and J. McPhee, 2007, Effects of locking differentials on the snaking behaviour of articulated steer vehicles, International Journal of Vehicle Systems Modeling and Testing, Vol. 2, No. 2, pp.101-127.
http://dx.doi.org/10.1504/IJVSMT.2007.013890N. L. Azad, A. Khajepour and J. McPhee, 2007, Robust State Feedback Stabilization of Articulated Steer Vehicles, Journal of Vehicle System Dynamics, Vol. 45, No.3, pp.249-275.
http://dx.doi.org/10.1080/00423110600907469[7] N. L. Azad, McPhee J. and Khajepour A., 2005, Off-road Lateral Stability Analysis of an Articulated Steer Vehicle with a Rear-mounted Load, International Journal of Vehicle Systems Modeling and Testing, Vol. 1, No./1/2/3 pp.106-130.
http://dx.doi.org/10.1504/IJVSMT.2005.008575N. L. Azad, Khajepour A. and Boyer G., A Revolutionary Suspension System for Manual Wheelchairs, pending patent approval, for submission to the Journal of Mechanisms and Machine Theory.
Khajepour A., N. L. Azad and Boyer G., Development of A New Suspension Technology for Powered Wheelchairs, pending patent approval, for submission to the Journal of Mechanisms and Machine Theory.
Full List of Publications: http://www.eng.uwaterloo.ca/~nlashgar/publications.html
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