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AUTOMATICA
2006
132views more  AUTOMATICA 2006»
13 years 9 months ago
A new autocovariance least-squares method for estimating noise covariances
Industrial implementation of model-based control methods, such as model predictive control, is often complicated by the lack of knowledge about the disturbances entering the syste...
Brian J. Odelson, Murali R. Rajamani, James B. Raw...
SIAMJO
2008
139views more  SIAMJO 2008»
13 years 9 months ago
An Augmented Primal-Dual Method for Linear Conic Programs
We propose a new iterative approach for solving linear programs over convex cones. Assuming that Slaters condition is satisfied, the conic problem is transformed to the minimizatio...
Florian Jarre, Franz Rendl
ICASSP
2011
IEEE
13 years 27 days ago
Dual constrained TV-based regularization
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...
Camille Couprie, Hugues Talbot, Jean-Christophe Pe...
WSC
2004
13 years 10 months ago
Simulation Optimization Using Balanced Explorative and Exploitative Search
We present a new random search method for solving simulation optimization problems. Our approach emphasizes the need for maintaining the right balance between exploration and expl...
Andrei A. Prudius, Sigrún Andradótti...
CDC
2010
IEEE
151views Control Systems» more  CDC 2010»
13 years 4 months ago
Convergence of discrete-time approximations of constrained linear-quadratic optimal control problems
Abstract-- Continuous-time linear constrained optimal control problems are in practice often solved using discretization techniques, e.g. in model predictive control (MPC). This re...
Lanshan Han, M. Kanat Camlibel, Jong-Shi Pang, W. ...