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Proceedings Papers

Online Identification of Power Required for Self-Sustainability of the Battery in Hybrid Electric Vehicles

Proc. ASME. ICEF2014, Volume 2: Instrumentation, Controls, and Hybrids; Numerical Simulation; Engine Design and Mechanical Development; Keynote Papers, V002T05A001, October 19–22, 2014

Paper No: ICEF2014-5401

https://doi.org/10.1115/ICEF2014-5401

View Paper titled, Online Identification of Power Required for Self-Sustainability of the Battery in Hybrid Electric Vehicles

Topics: Batteries, Hybrid electric vehicles, Sustainability, Engines, Algorithms, Control algorithms, Corporate average fuel economy, Cycles, Emissions, Fuel efficiency

Journal Articles

Impact of Component Sizing in Plug-In Hybrid Electric Vehicles for Energy Resource and Greenhouse Emissions Reduction

Andreas A. Malikopoulos

J. Energy Resour. Technol. December 2013, 135(4): 041201.

Paper No: JERT-12-1213

https://doi.org/10.1115/1.4023334

Published Online: May 27, 2013

View Article titled, Impact of Component Sizing in Plug-In Hybrid Electric Vehicles for Energy Resource and Greenhouse Emissions Reduction

Topics: Batteries, Emissions, Engines, Fuel efficiency, Generators, Optimization, Vehicles, Hybrid electric vehicles, Polynomials, Energy storage

Proceedings Papers

An Optimization Model for Plug-In Hybrid Electric Vehicles

Andreas A. Malikopoulos, David E. Smith

Proc. ASME. ICEF2011, ASME 2011 Internal Combustion Engine Division Fall Technical Conference, 739-748, October 2–5, 2011

Paper No: ICEF2011-60028

https://doi.org/10.1115/ICEF2011-60028

View Paper titled, An Optimization Model for Plug-In Hybrid Electric Vehicles

Topics: Corporate average fuel economy, Design, Emissions, Fuel efficiency, Hybrid electric vehicles, Optimization

Proceedings Papers

A Rollout Control Algorithm for Discrete-Time Stochastic Systems

Andreas A. Malikopoulos

Proc. ASME. DSCC2010, ASME 2010 Dynamic Systems and Control Conference, Volume 2, 711-717, September 12–15, 2010

Paper No: DSCC2010-4047

https://doi.org/10.1115/DSCC2010-4047

View Paper titled, A Rollout Control Algorithm for Discrete-Time Stochastic Systems

Topics: Control algorithms, Stochastic systems, Chain, Decision making, Modeling, Algorithms

Journal Articles

Online Identification and Stochastic Control for Autonomous Internal Combustion Engines

Andreas A. Malikopoulos, Panos Y. Papalambros, Dennis N. Assanis

J. Dyn. Sys., Meas., Control. March 2010, 132(2): 024504.

https://doi.org/10.1115/1.4000819

Published Online: February 9, 2010

View Article titled, Online Identification and Stochastic Control for Autonomous Internal Combustion Engines

Topics: Calibration, Corporate average fuel economy, Emissions, Engines, Fuel efficiency, Ignition, Internal combustion engines, Vehicles, Gasoline engines, Transients (Dynamics)

Proceedings Papers

Convergence Properties of a Computational Learning Model for Unknown Markov Chains

Andreas A. Malikopoulos

Proc. ASME. DSCC2008, ASME 2008 Dynamic Systems and Control Conference, Parts A and B, 513-520, October 20–22, 2008

Paper No: DSCC2008-2174

https://doi.org/10.1115/DSCC2008-2174

View Paper titled, Convergence Properties of a Computational Learning Model for Unknown Markov Chains

Topics: Chain, Decision making, Engineering systems and industry applications, Probability

Proceedings Papers

A State-Space Representation Model and Learning Algorithm for Real-Time Decision-Making Under Uncertainty

Andreas A. Malikopoulos, Panos Y. Papalambros, Dennis N. Assanis

Proc. ASME. IMECE2007, Volume 9: Mechanical Systems and Control, Parts A, B, and C, 575-584, November 11–15, 2007

Paper No: IMECE2007-41258

https://doi.org/10.1115/IMECE2007-41258

View Paper titled, A State-Space Representation Model and Learning Algorithm for Real-Time Decision-Making Under Uncertainty

Topics: Algorithms, Decision making, Uncertainty, Vehicles

Proceedings Papers

A Learning Algorithm for Optimal Internal Combustion Engine Calibration in Real Time

Andreas A. Malikopoulos, Panos Y. Papalambros, Dennis N. Assanis

Proc. ASME. IDETC-CIE2007, Volume 6: 33rd Design Automation Conference, Parts A and B, 91-100, September 4–7, 2007

Paper No: DETC2007-34718

https://doi.org/10.1115/DETC2007-34718

View Paper titled, A Learning Algorithm for Optimal Internal Combustion Engine Calibration in Real Time

Topics: Algorithms, Calibration, Corporate average fuel economy, Fuel efficiency, Internal combustion engines, Simulation

Journal Articles

A Real-Time Computational Learning Model for Sequential Decision-Making Problems Under Uncertainty

Andreas A. Malikopoulos, Panos Y. Papalambros, Dennis N. Assanis

J. Dyn. Sys., Meas., Control. July 2009, 131(4): 041010.

https://doi.org/10.1115/1.3117200

Published Online: May 20, 2009

View Article titled, A Real-Time Computational Learning Model for Sequential Decision-Making Problems Under Uncertainty

Topics: Decision making, Uncertainty, Vehicles, Control equipment, Simulation, Poles (Building)

Journal Articles

Convergence Properties of a Computational Learning Model for Unknown Markov Chains

Andreas A. Malikopoulos

J. Dyn. Sys., Meas., Control. July 2009, 131(4): 041011.

https://doi.org/10.1115/1.3117202

Published Online: May 20, 2009

View Article titled, Convergence Properties of a Computational Learning Model for Unknown Markov Chains

Topics: Chain, Probability, Decision making

Proceedings Papers

Real-Time, Self-Learning Optimization of Diesel Engine Calibration

Andreas A. Malikopoulos, Dennis N. Assanis, Panos Y. Papalambros

Proc. ASME. ICEF2007, ASME 2007 Internal Combustion Engine Division Fall Technical Conference, 537-545, October 14–17, 2007

Paper No: ICEF2007-1603

https://doi.org/10.1115/ICEF2007-1603

View Paper titled, Real-Time, Self-Learning Optimization of Diesel Engine Calibration

Topics: Calibration, Corporate average fuel economy, Diesel engines, Engines, Fuel efficiency, Optimization

Journal Articles

Real-Time Self-Learning Optimization of Diesel Engine Calibration

Andreas A. Malikopoulos, Dennis N. Assanis, Panos Y. Papalambros

J. Eng. Gas Turbines Power. March 2009, 131(2): 022803.

https://doi.org/10.1115/1.3019331

Published Online: December 19, 2008

View Article titled, Real-Time Self-Learning Optimization of Diesel Engine Calibration

Topics: Calibration, Corporate average fuel economy, Diesel engines, Emissions, Engines, Fuel efficiency, Optimization, Transients (Dynamics), Cycles, Vehicles

Journal citation

NARROW

Online Identification of Power Required for Self-Sustainability of the Battery in Hybrid Electric Vehicles

Impact of Component Sizing in Plug-In Hybrid Electric Vehicles for Energy Resource and Greenhouse Emissions Reduction

An Optimization Model for Plug-In Hybrid Electric Vehicles

A Rollout Control Algorithm for Discrete-Time Stochastic Systems

Online Identification and Stochastic Control for Autonomous Internal Combustion Engines

Convergence Properties of a Computational Learning Model for Unknown Markov Chains

A State-Space Representation Model and Learning Algorithm for Real-Time Decision-Making Under Uncertainty

A Learning Algorithm for Optimal Internal Combustion Engine Calibration in Real Time

A Real-Time Computational Learning Model for Sequential Decision-Making Problems Under Uncertainty

Convergence Properties of a Computational Learning Model for Unknown Markov Chains

Real-Time, Self-Learning Optimization of Diesel Engine Calibration

Real-Time Self-Learning Optimization of Diesel Engine Calibration

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