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报告题目:
汽车系第144次学术沙龙-Nonlinear Control, with Applications to Automotive Control Systems
 报告人:
Prof. J karl Hedrick
报告时间:
2014-11-13 12:00
报告地点:
清华大学汽研所三层301会议室
主办单位:
  简介:
Bio J Karl Hedrick
 
At present, James Marshall Wells Professor of Mechanical Engineering at the University of California at Berkeley, director of Berkeley’s Vehicle Dynamics Laboratory
 
1999-2004, Chair of the Mechanical Engineering Department at UC Berkeley
1997-2003, Director of the University of California PATH Research Center
1974-1988, Professor of Mechanical Engineering at MIT, director of the Vehicle Dynamics Laboratory
His research has concentrated on the development of nonlinear control theory and on its application to a broad variety of transportation systems including automated highway systems, power train control, embedded software design, formation flight of autonomous vehicles, and active suspension systems.
He was the chairman of the International Association of Vehicle System Dynamics (IAVSD) 20th Symposium, held in August of 2007 and was the editor of the Vehicle Systems Dynamics Journal. He is a Fellow of ASME where he has served as Chairman of the Dynamic Systems and Controls Division. He is also a member of SAE and AIAA. He served as the editor of the ASME Journal of Dynamic Systems, Measurements and Control.
He has been awarded a number of honors including:
ASME, Dynamic Systems and Control Division’s Outstanding Investigator Award, 2000,
ASME, DSM&C Journal’s Best Paper Award(1983&2001),
IEEE Transactions on Control Systems and Technology’s Outstanding Paper Award (1998),
American Automatic Control Council’s O. Hugo Schuck Best Paper Award (2003).
 
He was awarded ASME’s 2006 Rufus Oldenburger Medal which recognizes significant contributions and outstanding achievements in the field of automatic control.
He was elected to the National Academy of Engineering in 2014.
 
ABSTRACT
In general automotive dynamics are highly nonlinear with uncertainties due to unknown parameter values and unmodelled dynamics. The first part of this talk will outline a robust controller design methodology for both continuous and discrete systems that is an extension of sliding mode and input/output feedback linearization. Recent developments in combining receding horizon control and the sliding control methodologies will be presented. The second part of this talk will apply these methodologies to power train control and lateral vehicle dynamic control systems. Recent experimental results will be discussed.
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