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» Robust control of polytopic systems by convex optimization
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CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
13 years 9 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
AUTOMATICA
2007
104views more  AUTOMATICA 2007»
13 years 6 months ago
Improving off-line approach to robust MPC based-on nominal performance cost
This paper gives two alternative off-line synthesis approaches to robust model predictive control (RMPC) for systems with polytopic description. In each approach, a sequence of ex...
BaoCang Ding, YuGeng Xi, Marcin T. Cychowski, Thom...
CDC
2008
IEEE
121views Control Systems» more  CDC 2008»
14 years 16 days ago
Convex relaxations for quadratic distance problems
This paper deals with convex relaxations for quadratic distance problems, a class of optimization problems relevant to several important topics in the analysis and synthesis of ro...
Andrea Garulli, Alfio Masi, Antonio Vicino
MP
2006
87views more  MP 2006»
13 years 6 months ago
A Robust Optimization Approach to Dynamic Pricing and Inventory Control with no Backorders
In this paper, we present a robust optimization formulation for dealing with demand uncertainty in a dynamic pricing and inventory control problem for a make-to-stock manufacturing...
Elodie Adida, Georgia Perakis
AUTOMATICA
2008
114views more  AUTOMATICA 2008»
13 years 6 months ago
A synthesis approach for output feedback robust constrained model predictive control
This paper addresses the synthesis approach to output feedback robust model predictive control for systems with polytopic description, bounded state disturbance and measurement no...
BaoCang Ding, YuGeng Xi, Marcin T. Cychowski, Thom...