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» A controllability approach to shape identification
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104
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ESANN
1998
15 years 2 months ago
Lazy learning for control design
This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
Gianluca Bontempi, Mauro Birattari, Hugues Bersini
89
Voted
ASWEC
2007
IEEE
15 years 4 months ago
Explicitly Controlling the Fair Service for Busy Web Servers
There is a growing demand for web applications to provide fair service to the highly concurrent requests. In this paper, we present an approach to addressing this requirement. Bas...
Zhanwen Li, David Levy, Shiping Chen, John Zic
104
Voted
IJON
2010
159views more  IJON 2010»
14 years 7 months ago
Model predictive flight control using adaptive support vector regression
This paper explores an application of support vector regression (SVR) to model predictive control (MPC). SVR is employed to identify a dynamic system from input-output data, and t...
Jongho Shin, H. Jin Kim, Sewook Park, Youdan Kim
BMCBI
2010
139views more  BMCBI 2010»
15 years 25 days ago
A global optimization algorithm for protein surface alignment
Background: A relevant problem in drug design is the comparison and recognition of protein binding sites. Binding sites recognition is generally based on geometry often combined w...
Paola Bertolazzi, Concettina Guerra, Giampaolo Liu...
99
Voted
CDC
2008
IEEE
126views Control Systems» more  CDC 2008»
15 years 7 months ago
Open and emerging control problems in tokamak plasma control
— The tokamak concept for magnetic confinement of fusion plasmas is now quite mature scientifically. This maturity is evidenced by the ongoing worldwide effort to design and cons...
M. L. Walker, Eugenio Schuster, Didier Mazon, Didi...