Systems and Process Design | |||
| Session 629 - Design, Analysis and Operations under Uncertainty I | |||
| 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 | ||
| 629a | Steady-State Optimization with Guaranteed Stability under Parametric Uncertainties Nick Sahinidis, YoungJung Chang | ||
| 629b | Hedging Risk through the Flexible Recipe Framework Sergio Ferrer-Nadal, Gonzalo Guillén-Gosálbez, Luis Puigjaner | ||
| 629c | Design of Uncertain Discrete Time Systems with Constructive Nonlinear Dynamics Methods Martin Mönnigmann, Johannes Gerhard, Wolfgang Marquardt | ||
| 629d | Scheduling under Uncertainty Using Parametric Programming Zukui Li, Marianthi Ierapetritou | ||
| 629e | Quantifying Risk in Multistage Stochastic Problems Using Approximate Dynamic Programming and Coherent Risk Measures Nikolaos Pratikakis, Jay H. Lee, Matthew J. Realff | ||
| 629f | Propagation of Uncertainties in Nonlinear Dynamic Models Scott Ferson, Youdong Lin, George F. Corliss, Mark A. Stadtherr | ||
| 629g | Analysis and Evaluation of Batch Chemical Processes under Uncertainty Using Process Simulation and Risk Analysis Tools Evdokia Achilleos, Demetri P. Petrides | ||
| 629h | Dynamic Programming for Uncertain Multiparametric Problems N. P. Faisca, Konstantinos Kouramas, Efstratios N. Pistikopoulos | ||
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