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CCE
2004
14 years 9 months ago
Optimization under uncertainty: state-of-the-art and opportunities
A large number of problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in the presence of uncer...
Nikolaos V. Sahinidis
AIPS
2008
14 years 11 months ago
Bounded-Parameter Partially Observable Markov Decision Processes
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
Yaodong Ni, Zhi-Qiang Liu
CDC
2008
IEEE
131views Control Systems» more  CDC 2008»
15 years 3 months ago
Explicit model predictive control for linear parameter-varying systems
Abstract— In this paper we demonstrate how one can reformulate the MPC problem for LPV systems to a series of mpLPs by a closed-loop minimax MPC algorithm based on dynamic progra...
Thomas Besselmann, Johan Löfberg, Manfred Mor...
84
Voted
DAC
2005
ACM
15 years 10 months ago
Robust gate sizing by geometric programming
We present an efficient optimization scheme for gate sizing in the presence of process variations. Using a posynomial delay model, the delay constraints are modified to incorporat...
Jaskirat Singh, Vidyasagar Nookala, Zhi-Quan Luo, ...
CDC
2008
IEEE
142views Control Systems» more  CDC 2008»
15 years 3 months ago
A LPV approach to control and real-time scheduling codesign: Application to a robot-arm control
— This paper deals with real-time control under computational constraints. A robust control approach to control/real-time scheduling co-design is proposed using the H∞ framewor...
Olivier Sename, Daniel Simon, Mongi Ben Gaid