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CCE
2008
14 years 9 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
NIPS
2004
14 years 11 months ago
Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters
We present a generative model and stochastic filtering algorithm for simultaneous tracking of 3D position and orientation, non-rigid motion, object texture, and background texture...
Tim K. Marks, John R. Hershey, J. Cooper Roddey, J...
CP
2006
Springer
15 years 1 months ago
Global Optimization of Probabilistically Constrained Linear Programs
We consider probabilistic constrained linear programs with general distributions for the uncertain parameters. These problems generally involve non-convex feasible sets. We develo...
Shabbir Ahmed
CDC
2010
IEEE
130views Control Systems» more  CDC 2010»
14 years 4 months ago
A fast well-conditioned interior point method for predictive control
Interior point methods (IPMs) have proven to be an efficient way of solving quadratic programming problems in predictive control. A linear system of equations needs to be solved in...
Amir Shahzad, Eric C. Kerrigan, George A. Constant...
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ICRA
1994
IEEE
136views Robotics» more  ICRA 1994»
15 years 1 months ago
The Decoupling of the Direct Kinematics of Parallel Manipulators Using Redundant Sensors
The e ect of redundant sensors in the solution of the direct kinematics of general parallel manipulators is studied here, for purposes of on-line implementation. We describe three...
Luc Baron, Jorge Angeles