Friday, November 17, 2006: 8:30 AM-11:00 AM
Continental 1 (Hilton San Francisco)
#629 - Design, Analysis and Operations under Uncertainty I (10A04)
Complex processes in physics, chemistry, biology, engineering and finance, often exhibit uncertainties, or fluctuations, or noises, in their structures as a rule rather than as an exception. To interpret, analyze, model and simulate these uncertainties, algorithms have developed to yield not only the structure or pattern of these processes, but also the statistical characteristics of the evolutions of underlined uncertainties that the conventional deterministic models can not offer. These algorithms have significantly optimized process design and operations. Recent development seems to suggest the needs for efficient solution of large-scale problems and the applicability of the proposed methodologies in realistic case studies. Papers are sought that describe: (i) modeling, algorithmic development and solution procedures for the design and operation under uncertainty, (ii) characterization of system behavior under uncertainty, (iii) evaluation of feasible region of design operation for realistic nonconvex cases, (iv) integration of uncertainty analysis within process design and operations in a unified framework, and (v) reconciliations of the stochastic algorithms developed by engineers with those by chemical physicists.
Chair:Wei-Yin Chen
CoChair:Marianthi Ierapetritou
8:30 AM629aSteady-State Optimization with Guaranteed Stability under Parametric Uncertainties
Nick Sahinidis, YoungJung Chang
8:49 AM629bHedging Risk through the Flexible Recipe Framework
Sergio Ferrer-Nadal, Gonzalo Guillén-Gosálbez, Luis Puigjaner
9:08 AM629cDesign of Uncertain Discrete Time Systems with Constructive Nonlinear Dynamics Methods
Martin Mönnigmann, Johannes Gerhard, Wolfgang Marquardt
9:27 AM629dScheduling under Uncertainty Using Parametric Programming
Zukui Li, Marianthi Ierapetritou
9:46 AM629eQuantifying Risk in Multistage Stochastic Problems Using Approximate Dynamic Programming and Coherent Risk Measures
Nikolaos Pratikakis, Jay H. Lee, Matthew J. Realff
10:05 AM629fPropagation of Uncertainties in Nonlinear Dynamic Models
Scott Ferson, Youdong Lin, George F. Corliss, Mark A. Stadtherr
10:24 AM629gAnalysis and Evaluation of Batch Chemical Processes under Uncertainty Using Process Simulation and Risk Analysis Tools
Evdokia Achilleos, Demetri P. Petrides
10:42 AM629hA Multi-Parametric Programming Approach for Dynamic Programming & Robust Control
Nuno P. Faísca, Konstantinos I. Kouramas, Efstratios N. Pistikopoulos

See more of Computing and Systems Technology Division

See more of The 2006 Annual Meeting