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CCE
2008
13 years 8 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny
MICCAI
2002
Springer
14 years 9 months ago
Stochastic Finite Element Framework for Cardiac Kinematics Function and Material Property Analysis
Abstract. A stochastic finite element method (SFEM) based framework is proposed for the simultaneous estimation of cardiac kinematics functions and material model parameters. While...
Pengcheng Shi, Huafeng Liu
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 3 months ago
Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
Naresh N. Nandola, Daniel E. Rivera
ESEM
2008
ACM
13 years 10 months ago
A constrained regression technique for cocomo calibration
Building cost estimation models is often considered a search problem in which the solver should return an optimal solution satisfying an objective function. This solution also nee...
Vu Nguyen, Bert Steece, Barry W. Boehm
CAGD
2005
118views more  CAGD 2005»
13 years 8 months ago
Curve modeling with constrained B-spline wavelets
In this paper we present a novel approach to construct B-spline wavelets under constraints, taking advantage of the lifting scheme. Constrained B-spline wavelets allow multiresolu...
Denggao Li, Kaihuai Qin, Hanqiu Sun