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AUTOMATICA
2002
124views more  AUTOMATICA 2002»
15 years 1 months ago
Predictive pole-placement control with linear models
The predictive pole-placement control method introduced in this paper embeds the classical pole-placement state feedback design into a quadratic optimisation based model-predictiv...
Peter J. Gawthrop, Eric Ronco
108
Voted
CDC
2009
IEEE
116views Control Systems» more  CDC 2009»
15 years 6 months ago
Robust output feedback control of a magnetic levitation system via high-gain observer
Abstract— This paper proposes a novel robust output feedback controller for an electromechanical system in the presence of external disturbance and uncertainties of physical para...
Zi-Jiang Yang, Seiichiro Hara, Shunshoku Kanae, Ki...
CDC
2010
IEEE
228views Control Systems» more  CDC 2010»
14 years 9 months ago
Fundamental performance limitations with Kullback-Leibler control cost
This research concerns fundamental performance limitations in control of discrete time nonlinear systems. The fundamental limitations are expressed in terms of the average cost of ...
Sun Yu, Prashant G. Mehta
ICRA
2002
IEEE
175views Robotics» more  ICRA 2002»
15 years 6 months ago
Flying Robots: Modeling, Control and Decision Making
This paper presents a flight rnanageiiient system (FhIS) iinpleniented as on-board intelligence for rotorcraft-based unmanned aerial vehicles (RUAVs), in order to gradually ilen a...
H. Jin Kim, David Hyunchul Shim, Shankar Sastry
ESANN
1998
15 years 3 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