文档介绍:Adaptive Critic Learning Techniques for Automotive Engine Torque and Air-Fuel Ratio Control
Derong Liu
May 8, 2002
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刘德荣
2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning
Google: IEEE ADPRL
April 1-5, 2007 Hilton Hawaiian Village, Honolulu
Sponsored by the putational Intelligence Society
May 8, 2002
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2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning
Program Chair: Derong Liu
Program Co-Chairs: Remi Munos, Jennie Si, Don Wunsch
IEEE Symposium Series putational Intelligence
General Chair: David Fogel
Honorary Chair: Evangelia Micheli-Tzanakou
Theme: Celebrating 50 Years of Richard Bellman’s Dynamic Programming
May 8, 2002
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12 Symposia
IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning
IEEE Symposium on Artificial Life
IEEE Symposium putational Intelligence in Image and Signal Processing
IEEE Symposium putational Intelligence and Data Mining
IEEE Symposium putational Intelligence in Bioinformatics putational Biology
IEEE Symposium putational Intelligence and Games
IEEE Symposium putational Intelligence and Scheduling
IEEE Symposium on Foundations putational Intelligence
IEEE Symposium putational Intelligence in Multicriteria Decision Making
IEEE Symposium putational Intelligence and Defense Applications
IEEE Swarm Intelligence Symposium
IEEE Workshop on Evolvable Hardware
May 8, 2002
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Outline
Objectives
Approach
Adaptive Critic Designs (ACD)
Test Engine Adaptive Critic Learning Control
Implementation Platform
Torque and Air-Fuel Ratio Contrtol Simulation Results
Observations and Concluding Remarks
May 8, 2002
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A Bit of History
1993-95: General Motors R&D Center
2003-present: ADP for Automotive Powertrain Control
Learning control application
Supported by NSF and GM
Participants:
Derong Liu
Hossein Javaherian
Ting Huang
May 8, 200