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AUTOMATICA
2006
150views more  AUTOMATICA 2006»
15 years 6 months ago
Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
In this paper, Receding Horizon Model Predictive Control (RHMPC) of nonlinear systems subject to input and state constraints is considered. We propose to estimate the terminal reg...
Chong Jin Ong, Dan Sui, Elmer G. Gilbert
AUTOMATICA
2005
108views more  AUTOMATICA 2005»
15 years 6 months ago
Robust optimal control of regular languages
This paper presents an algorithm for robust optimal control of regular languages under specified uncertainty bounds on the event cost parameters of the language measure that has b...
Constantino M. Lagoa, Jinbo Fu, Asok Ray
JIFS
2007
115views more  JIFS 2007»
15 years 6 months ago
Winner determination for combinatorial auctions for tasks with time and precedence constraints
We present a solution to the winner determination problem which takes into account not only costs but also risk aversion of the agent that accepts the bids, and which works for au...
Güleser K. Demir, Maria L. Gini
JSA
2007
84views more  JSA 2007»
15 years 6 months ago
Optimizing data structures at the modeling level in embedded multimedia
Traditional design techniques for embedded systems apply transformations on the source code to optimize hardwarerelated cost factors. Unfortunately, such transformations cannot ad...
Marijn Temmerman, Edgar G. Daylight, Francky Catth...
AUTOMATICA
2002
104views more  AUTOMATICA 2002»
15 years 6 months ago
Who needs QP for linear MPC anyway?
Conventional MPC uses quadratic programming (QP) to minimise, on-line, a cost over n linearly constrained control moves. However, stability constraints often require the use of la...
Basil Kouvaritakis, Mark Cannon, J. Anthony Rossit...