IEEE Control Systems Award

To recognize outstanding contributions to control systems engineering, science or technology. 

Prize:
$10,000, Bronze Medal, Certificate in IEEE Folder, and travel expenses to the CDC (round trip restricted coach air fare, conference registration, and four conference-rate hotel nights).
Funding:
Funded by the IEEE Control Systems Society.
Presentation:
At the Awards Ceremony of the CSS.
Nomination Details:

Nomination Deadline: January 31st of each year

More information about this award may be obtained directly from the IEEE

Award Recipients

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Richard Murray

2017 Recipient of IEEE Control Systems Award
For contributions to the theory and applications of nonlinear and networked control systems.

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Arthur Krener

2016 Recipient of IEEE Control Systems Award
For contributions to the analysis, control, and estimation of nonlinear control systems

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Bruce Francis

2015 Recipient of IEEE Control Systems Award
For pioneering contributions to H-infinity, linear-multivariable, and digital control

Tamer Bașar - 2014 recipient of IEEE Control Systems Award

2014 Recipient of IEEE Control Systems Award
For seminal contributions to dynamic games, stochastic and risk-sensitive control, control of networks, and hierarchical decision making

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Stephen Boyd

2013 Recipient of IEEE Control Systems Award
For contributions to systems design and analysis via convex optimization

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Alberto Isidori

2012 Recipient of IEEE Control Systems Award
For pioneering contributions to nonlinear control theory

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Eduardo Sontag

2011 Recipient of IEEE Control Systems Award
For fundamental contributions to nonlinear systems theory and nonlinear feedback control

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Graham Goodwin

2010 Recipient of IEEE Control Systems Award
For contributions to the theory and practice of digital and adaptive control

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David Mayne

2009 Recipient of IEEE Control Systems Award
For contributions to the application of optimization to modern control theory

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Mathukumalli Vidyasagar

2008 Recipient of IEEE Control Systems Award
For promulgation of control science and engineering and contributions to robust control, robotics and statistical learning theory