Publications

Books:

  1. Malikopoulos, A.A. Real-Time, Self-Learning Identification and Stochastic Optimal Control of Advanced Powertrain Systems, ProQuest, September 2011.

 

Journal Articles (Appeared or in Press):

  1. Beaver, L. E., and Malikopoulos, A.A., “An Energy-Optimal Framework for Assignment and Trajectory Generation in Teams of Autonomous Agents,” Systems & Control Letters, Volume 138, 2020 (pdf).
  2. Mahbub, A M., I., Malikopoulos, A.A., and Zhao, L., “Decentralized Optimal Coordination of Connected and Automated Vehicles for Multiple Traffic Scenarios,” Automatica, 117, 2020 (pdf).
  3. Beaver, L. E., Chalaki, B., Mahbub, A M., I., Zhao, L., Zayas, R., and Malikopoulos, A.A., “Demonstration of a Time-Efficient Mobility System Using a Scaled Smart City,” Vehicle System Dynamics, 58, 5, 787— 804, 2020. (pdf).
  4. Zhao, L., and Malikopoulos, A.A., “Enhanced Mobility with Connectivity and Automation: A Review of Shared Autonomous Vehicle Systems,” IEEE Intelligent Transportation Systems Magazine, 2020 (pdf).
  5. Malikopoulos, A.A., Charalambous, C.D., and Tzortzis, I., “The Average Cost of Markov Chains Subject to Total Variation Distance Uncertainty,” Systems & Control Letters, 120 (2018), 29-35 (pdf).
  6. Malikopoulos, A. A., Hong, S., Park, B., Lee, J., and Ryu, S. “Optimal Control for Speed Harmonization of Automated Vehicles,” IEEE Trans. Intell. Transp. Syst., 20, 7, 2405–2417, 2019. (pdf).
  7. Rios-Torres, J., and Malikopoulos, A.A., “Impact of Partial Penetrations of Connected and Automated Vehicles on Fuel Consumption and Traffic Flow,” IEEE Trans. Intell. Veh., Vol. 3, 4, pp. 453–462, 2018 (pdf).
  8. Malikopoulos, A.A., Cassandras, C.G., and Zhang, Y.Z, “A Decentralized Energy-Optimal Control Framework for Connected Automated Vehicles at Signalized-Free Intersections,” Automatica, 93, 244–256, 2018 (pdf).
  9. Rios-Torres, J., and Malikopoulos, A.A., “A Survey on the Coordination of Connected and Automated Vehicles at Intersections and Merging at Highway On-Ramps,” IEEE Trans. Intel. Trans. Syst., Vol. 18, 5, pp. 1066-1077, 2017 (pdf).
  10. Rios-Torres, J., and Malikopoulos, A.A., “Automated and Cooperative Vehicle Merging at Highway On-Ramps,” IEEE Trans. Intell. Transp. Syst., Vol. 18, 4, pp. 780-789, 2017 (pdf).
  11. Malikopoulos, A.A., “A Duality Framework for Stochastic Optimal Control of Complex Systems,” IEEE Trans. on Automatic Control, Vol. 61, 10, pp. 2756-2765, 2016 (pdf).
  12. Sharma, I., Dong, J., Malikopoulos, A.A., Street, M., Ostrowski, J., Kuruganti, T., and Jackson, R., “A Modeling Framework for Optimal Energy Management in a Residential Building,” Journal of Energy and Buildings, Vol. 130, pp. 55-63, 2016 (pdf).
  13. Malikopoulos, A.A., “A Multiobjective Optimization Framework for Online Stochastic Optimal Control in Hybrid Electric Vehicles,” IEEE Trans. on Control Systems Tech., Vol. 24, 2, pp. 440-450, 2016 (pdf).
  14. Shaltout, M., Malikopoulos, A.A., Pannala, S., and Chen, D., “A Consumer-Oriented Control Framework for Performance Analysis in Hybrid Electric Vehicles,” IEEE Trans. on Control Systems Tech., Vol. 23, 4, pp. 1451-1464, 2015 (pdf).
  15. Malikopoulos, A.A., “Supervisory Power Management Control for Hybrid Electric Vehicles: A Survey,” IEEE Trans. on Intell. Transp. Syst., Vol. 15, 5, pp. 1869-1885, 2014 (pdf).
  16. Malikopoulos, A.A., and Aguilar, J.P., “An Optimization Framework for Driver Feedback Systems,” IEEE Trans. on Intell. Transp. Syst., Vol. 14, 2, pp.955-964, 2013 (pdf).
  17. Malikopoulos, A.A., “Impact of Component Sizing in Plug-In Hybrid Electric Vehicles for Energy Resource and Greenhouse Emissions Reduction,” J. Energy Resour. Technol,Vol. 135, 4, pp. 041201-041209, 2013 (pdf).
  18. Park, S., Malikopoulos, A.A., Kokkolaras, M., and Jung, D. “Thermal Management System Modeling and Component Sizing for Heavy Duty Series Hybrid Electric Vehicles,” Int. J. Heavy Vehicle Systems, Vol. 18, 3, pp.272–287, 2011 (link).
  19. Malikopoulos, A.A., Papalambros, P.Y., and Assanis, D.N., “Online Self-Learning Identification and Stochastic Control for Autonomous Internal Combustion Engines,” J. Dyn. Sys., Meas., Control, Vol. 132, 2, pp.024504-9, 2010 (pdf).
  20. Malikopoulos, A.A., “Convergence Properties of a Computational Learning Model for Unknown Markov Chains,” J. Dyn. Sys., Meas., Control, Vol. 131, 4, pp. 041011-7, 2009 (pdf).
  21. Malikopoulos, A.A., Papalambros, P.Y., and Assanis, D.N., “A Real-Time Computational Learning Model for Sequential Decision-Making Problems Under Uncertainty,” J. Dyn. Sys., Meas., Control, Vol. 131, 4, pp.041010-18, 2009 (pdf).
  22. Malikopoulos, A.A., Assanis, D.N., and Papalambros, P.Y., “Real-Time, Self-Learning Optimization of Diesel Engine Calibration,” J. Eng. Gas Turbines Power, Vol. 131, 2, pp. 022803-9, 2009 (pdf).

 

Peer-Reviewed Conference Publications:

  1. Chremos, I.V., and Malikopoulos, A.A., “Social Resource Allocation in a Mobility System with Connected and Automated Vehicles: A Mechanism Design Problem,” Proceedings of the 59th IEEE Conference on Decision and Control, 2020 (to appear).
  2. Beaver, L. E., and Malikopoulos, A.A., “Beyond Reynolds: A Constraint-Driven Approach to Cluster Flocking,” Proceedings of the 59th IEEE Conference on Decision and Control, 2020 (to appear).
  3. Chalaki, B., Beaver, L. E., Remer, B., Jang, K., Vinitsky, E., Bayen, A., and Malikopoulos, A.A., “Zero-Shot Autonomous Vehicle Policy Transfer: From Simulation to Real-World via Adversarial Learning,” 16th IEEE International Conference on Control & Automation (IEEE ICCA 2020), 2020 (pdf, link to relevant videos).
  4. Chremos, I.V., Beaver, L. E., and Malikopoulos, A.A., “A Game-Theoretic Analysis of the Social Impact of Connected and Automated Vehicles,” Proceedings of 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, 2020 (pdf).
  5. Chalaki, B., Beaver, L. E., and Malikopoulos, A.A., “Experimental Validation of a Real-Time Optimal Controller for Coordination of CAVs in a Multi-Lane Roundabout,” Proceedings of IEEE Intelligent Vehicles Symposium– IV2020, 2020 (pdf).
  6. Mahbub, A. and Malikopoulos, A., “Concurrent Optimization of Vehicle Dynamics and Powertrain Operation Using Connectivity and Automation,” SAE Technical Paper 2020-01-0580, 2020, doi:10.4271/2020-01-0580 (link).
  7. Mahbub, A.M., Karri, V., Parikh, D., Jade, S., Malikopoulos, A., “A Decentralized Time- and Energy-Optimal Control Framework for Connected Automated Vehicles: From Simulation to Field Test,” SAE Technical Paper 2020-01-0579, 2020, doi:10.4271/2020-01-0579. (link).
  8. Beaver, L. E., Kroninger and, C., Malikopoulos, A.A., “An Optimal Control Approach to Flocking,” Proceedings of 2020 American Control Conference, pp. 683–688, 2020 (pdf).
  9. Dave, A., and Malikopoulos, A.A., “Structural Results for Decentralized Stochastic Control with a Word-of-Mouth Communication” Proceedings of 2020 American Control Conference, pp. 2796–2801, 2020 (pdf).
  10. Mahbub, A M., I., Malikopoulos, A.A., and Zhao, L., “Impact of Connected and Automated Vehicles in a Corridor,” Proceedings of 2020 American Control Conference, pp. 1185–1190, 2020 (pdf).
  11. Mahbub, A M., I., and Malikopoulos, A.A., “Conditions for Activating State and Control Constraints in Coordination of Connected and Automated Vehicles,” Proceedings of 2020 American Control Conference, pp. 436–441, 2020 (pdf).
  12. Beaver, L. E., and Malikopoulos, A.A., “A Decentralized Control Framework for Energy-Optimal Goal Assignment and Trajectory Generation,” Proceedings of the 58th IEEE Conference on Decision and Control, 2019, pp. 879-884, 2019 (pdf).
  13. Malikopoulos, A.A., and Zhao, L., “Optimal Path Planning for Connected and Automated Vehicles at Urban Intersections,” Proceedings of the 58th IEEE Conference on Decision and Control, 2019, pp. 1261-1266, 2019 (pdf).
  14. Dave, A., and Malikopoulos, A.A., “Decentralized Stochastic Control in Partially Nested Information Structures” Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019, pp. 97-102, 2019 (pdf).
  15. Chalaki, B., and Malikopoulos, A.A., “An Optimal Coordination Framework for Connected and Automated Vehicles in two Interconnected intersections,” Proceedings of 2019 IEEE Conference on Control Technology and Applications, 2019, pp. 888-893, 2019 (pdf).
  16. Zhao, L., Malikopoulos, A.A., and Rios-Torres, J., “On the Traffic Impacts of Optimally Controlled Connected and Automated Vehicles,” Proceedings of 2019 IEEE Conference on Control Technology and Applications, 2019, pp. 882-887, 2019 (pdf).
  17. Zhao, L., Mahbub, A M., I., and Malikopoulos, A.A., “Optimal Vehicle Dynamics and Powertrain Control for Connected and Automated Vehicles,” Proceedings of 2019 IEEE Conference on Control Technology and Applications, 2019, pp. 33-38, 2019 (pdf).
  18. Remer, B., and Malikopoulos, A.A., “The Multi-objective Dynamic Traveling Salesman Problem: Last Mile Delivery with Unmanned Aerial Vehicles Assistance,” Proceedings of 2019 American Control Conference, 2019, pp. 5304–5309, 2019 (pdf).
  19. Malikopoulos, A.A., and Zhao, L., “A Closed-Form Analytical Solution for Optimal Coordination of Connected and Automated Vehicles,” Proceedings of 2019 American Control Conference, 2019, pp. 3599–3604, 2019 (pdf).
  20. Mahbub, A. M., Zhao, L., Assanis, D, D., and Malikopoulos, A.A., “Energy-Optimal Coordination of Connected and Automated Vehicles at Multiple Intersections,” Proceedings of 2019 American Control Conference, 2019, pp. 2664–2669, 2019 (pdf).
  21. Jang, K., Vinitsky, E., Chalaki, B., Remer, B., Beaver, L. E., Malikopoulos, A.A., and Bayen, A., “Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous Vehicles,” Proceedings of International Conference on Cyber-Physical Systems (ICCPS), pp. 291–300, 2019 (pdflink to relevant videos).
  22. Assanis, D, D., Zhao, L., and Malikopoulos, A.A., “Characterization of the new Class of Driving Cycles for Connected and Automated Vehicles,” Proceedings of 2018 IEEE 21st International Conference on Intelligent Transportation Systems, pp. 3668–3673, 2018 (pdf).
  23. Zhao, L., and Malikopoulos, A.A., “Decentralized Optimal Control of Connected and Automated Vehicles in a Corridor,” Proceedings of 2018 IEEE 21st International Conference on Intelligent Transportation Systems, pp. 1252–1257, 2018 (pdf).
  24. Stager, A., Bhan, L., Malikopoulos, A.A., L. Zhao, “A Scaled Smart City for Experimental Validation of Connected and Automated Vehicles”, Proceedings of the 15th IFAC Symposium on Control in Transportation Systems (CTS 2018), pp. 120–135, 2018 (pdf).
  25. Zhao, L., Malikopoulos, A.A., Rios-Torres, J., “Optimal Control of Connected and Automated Vehicles at Roundabouts: An Investigation in a Mixed-Traffic Environment,” Proceedings of the 15th IFAC Symposium on Control in Transportation Systems (CTS 2018), pp. 73–78, 2018 (pdf).
  26. Zhang, Y.Z, Malikopoulos, A.A., and Cassandras, C.G., “Decentralized Optimal Control for Connected and Automated Vehicles at Intersections Including Left and Right Turns,” Proceedings of the 56th IEEE Conference on Decision and Control, 2017 (pdf).
  27. Rios-Torres, J., and Malikopoulos, A.A., “Impact of Connected and Automated Vehicles on Traffic Flow,” Proceedings of 2017 IEEE 20th International Conference on Intelligent Transportation Systems, 2017 (pdf).
  28. Zhang, Y.Z, Cassandras, C.G., Malikopoulos, A.A., “Optimal Control of Connected Automated Vehicles at Urban Traffic Intersections: A Feasibility Enforcement Analysis,” Proceedings of the 2017 American Control Conference, pp. 3548-3553, 2017. 2017 (pdf).
  29. Dong, J, Kuruganti, T., Malikopoulos, A.A., Djouadi, S.M., and Want, L., “Home Energy Management based on Optimal Production Control Scheduling with Unknown Regime Switching,” Proceedings of the 2017 American Control Conference, pp. 2054-2059, 2017. 2017 (pdf).
  30. Rios-Torres, J., and Malikopoulos, A.A., “Connected and Automated Vehicle Merging at Highway On- Ramps,” in 96th Annual Meeting Transportation Research Board, 2017 (pdf).
  31. Hong, S., Malikopoulos, A. A., Lee, J., and Park, B., “Development and Evaluation of Speed Harmonization using Optimal Control Theory: A Simulation-Based Case Study at a Speed Reduction Zone,” in 96th Annual Meeting Transportation Research Board, 2017 (pdf).
  32. Rios-Torres, J., and Malikopoulos, A.A., “An Overview of Driver Feedback Systems for Efficiency and Safety,” Proceedings of 2016 IEEE 19th International Conference on Intelligent Transportation Systems, pp. 667-674, 2016 (pdf).
  33. Rios-Torres, J., and Malikopoulos, A.A., “Energy Impact of Different Penetrations of Connected and Automated Vehicles: A Preliminary Assessment,” in Proceedings of 9th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2016 (pdf).
  34. Zhang, Y.Z, Malikopoulos, A.A., and Cassandras, C.G., “Optimal Control and Coordination of Connected and Automated Vehicles at Urban Traffic Intersections,” Proceedings of the 2016 American Control Conference, pp. 6227-6232, 2016 (pdf).
  35. Dong, J, Malikopoulos, A.A., Djouadi, S.M., and Kuruganti, T., “Application of Optimal Production Control Theory for Home Energy Management in a Micro Grid,” Proceedings of the 2016 American Control Conference, pp. 5014-5019, 2016 (pdf).
  36. Rios-Torres, J., Malikopoulos, A.A., and Pisu, P, “Online Optimal Control of Connected Vehicles for Efficient Traffic Flow at Merging Roads,” Proceedings of 2015 IEEE 18th International Conference on Intelligent Transportation Systems, pp. 2432-2437, 2015 (pdf).
  37. Malikopoulos, A.A., “Pareto Efficient Policy for Supervisory Power Management Control,” in Proceedings of 2015 IEEE 18th International Conference on Intelligent Transportation Systems, pp. 2443-2448 , 2015 (pdf).
  38. Malikopoulos, A.A., “Centralized Stochastic Optimal Control of Complex Systems,” Proceedings of the 2015 European Control Conference, pp. 721-726, 2015 (pdf).
  39. Malikopoulos, A.A., Maroulas, V., and Xiong, J., “A Multiobjective Optimization Analysis for Stochastic Control of Complex Systems,” Proceedings of the 2015 American Control Conference, pp. 4263-4268, 2015 (pdf).
  40. Pourazarm, S., Cassandras, C.G., and Malikopoulos, A.A., “Optimal Routing of Electric Vehicles in Networks with Charging Nodes: A Dynamic Programming Approach,” Proceedings of the IEEE International Electric Vehicle Conference, 2014 (pdf).
  41. Shaltout, M., Malikopoulos, A.A., Pannala, S., Chen, D., “A Duality Framework for Optimal Control of Battery Management Systems,” Proceedings of the IEEE International Electric Vehicle Conference, 2014 (pdf).
  42. Malikopoulos, A.A., “Online Identification of Power Required for Self-Sustainability of the Electrical Path in Hybrid Electric Vehicles,” Proceedings of the 2014 Technical Conference of the ASME Internal Combustion Engine Division., Oct. 19-22, 2014 (pdf).
  43. Malikopoulos, A.A., “Stochastic Optimal Control for Series Hybrid Electric Vehicles,” Proceedings of 2013 American Control Conference, pp. 1191-1196, 2013 (pdf).
  44. Malikopoulos, A.A. and Aguilar, J.P., “Optimization of Driving Styles for Fuel Economy Improvement,” Proceedings of 2012 15th International IEEE Conference on Intelligent Transportation Systems, pp. 194-199, 2012 (pdf).
  45. Malikopoulos, A.A., “Equilibrium Control Policies for Markov Chains,” Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, pp. 7093-7098, 2011 (pdf).
  46. Malikopoulos, A.A. and Smith, D.E., “An Optimization Model for Plug-in Hybrid Electric Vehicles,” Proceedings of the 2011 Technical Conference of the ASME Internal Combustion Engine Division, ICEF2011-60028 (pdf).
  47. Malikopoulos, A.A., “A Rollout Control Algorithm for Discrete-Time Stochastic Systems,” Proceedings of the 2010 ASME Dynamic Systems and Control Conference (DSCC), 2010 (pdf).
  48. Malikopoulos, A.A., “Convergence Properties of a Computational Learning Model for Unknown Markov Chains,” Proceedings of the 2008 ASME Dynamic Systems and Control Conference (DSCC), 2008, DSCC2008-2174 (pdf).
  49. Malikopoulos, A.A., Assanis, D.N. and Papalambros, P.Y., “Optimal Engine Calibration for Individual Driving Styles,” Proceedings of the Society of Automotive Engineers World Congress, SAE 2008-01-1367 (pdf).
  50. Malikopoulos, A.A., Papalambros, P.Y. and Assanis, D.N., “A State-Space Representation Model and Learning Algorithm for Real-Time Decision-Making Under Uncertainty,” Proceedings of the 2007 ASME International Mechanical Engineering Congress and Exposition, 2007, IMECE2007-41258 (pdf).
  51. Malikopoulos, A.A., Assanis, D.N. and Papalambros, P.Y., “Real-Time, Self-Learning Optimization of Diesel Engine Calibration,”Proceedings of the 2007 Technical Conference of the ASME Internal Combustion Engine Division, ICEF2007-1603 (pdf).
  52. Malikopoulos, A.A., Papalambros, P.Y. and Assanis, D.N., “A Learning Algorithm for Optimal Internal Combustion Engine Calibration in Real Time,” Proceedings of the 2007 ASME International Design Engineering Technical Conferences & Computers and Information In Engineering Conference, DETC2007/DAC-34718 (pdf).
  53. Malikopoulos, A.A., Filipi, Z. and Assanis, D.N., “Simulation of an Integrated Starter Alternator (ISA) for the HMMWV,” Proceedings of the Society of Automotive Engineers World Congress, SAE 2006-01-0442 (pdf).
  54. Shevchenko, N. B., Krauthauser, C., Heider, D., Kim, H. J., Malikopoulos, A.A., Gillespie, Jr., J. W. and Florence, J., “Manufacturing Technology to Sustain the Army’s Wheeled Vehicle Fleet: Reengineering of a Composite HMMWV Hood,” Proceedings of the 34th ISTC, 2002.
  55. Pantelelis, N.G., Malikopoulos, A.A., Kanarachos, A. and Efentakis, N., “Simulation, Implementation and Evaluation of the Production of a Gas- Assisted Long Part,” Proceedings of the 56th SPE Annual Technical Conference- ANTEC 2001, Society Plastics Engineers.

 

Dissertations and Theses:

  1. Malikopoulos, A.A., (2008) Real-Time, Self-Learning Identification and Stochastic Optimal Control of Advanced Powertrain Systems, Ph.D. Dissertation, Department of Mechanical Engineering, University of Michigan.
  2. Malikopoulos, A.A., (2000) Design and Resin Flow Simulation of a Plastic Storing Case for Computer Disks – Design and Manufacturing of Injection Mold for the Production of the Plastic Case, Diploma Thesis, Department of Mechanical Engineering, National Technical University of Athens (NTUA), Greece.
  3. Malikopoulos, A.A., (1994) Development and Analysis of Optimization Algorithms for Product Design, BS Thesis, Department of Mechanical Engineering, Technological Educational Institute of Patras, Greece.