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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...
GLOBECOM
2010
IEEE
13 years 7 months ago
Joint Encoder and Buffer Control for Statistical Multiplexing of Multimedia Contents
Statistical multiplexing aims at transmitting several variable bit rate (VBR) encoded video streams over a bandlimited channel. Rate-distortion (RD) models for the encoded streams ...
Nesrine Changuel, Bessem Sayadi, Michel Kieffer
CDC
2008
IEEE
117views Control Systems» more  CDC 2008»
14 years 3 months ago
Stability of model predictive control based on reduced-order models
— In this paper, we present a systematic procedure for obtaining closed-loop stable output-feedback model predictive control based on reduced-order models. The design uses linear...
Svein Hovland, Christian Løvaas, Jan Tommy ...
EAAI
2007
199views more  EAAI 2007»
13 years 9 months ago
Nonlinear system modeling and robust predictive control based on RBF-ARX model
An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems with unknown steady state. First, the nonlinear system is id...
Hui Peng, Zi-Jiang Yang, Weihua Gui, Min Wu, Hideo...
GECCO
2007
Springer
314views Optimization» more  GECCO 2007»
14 years 3 months ago
Variable selection for wind power prediction using particle swarm optimization
Wind energy has an increasing influence on the energy supply in many countries, but in contrast to conventional power plants it is a fluctuating energy source. For its integration...
René Jursa