Nonlinear Model-Based Process Operation under Uncertainty Using Exact Parametric Programming
نویسندگان
چکیده
منابع مشابه
Long-Range Process Planning under Uncertainty via Parametric Programming
Scenario analysis within a multi-stage stochastic programming formulation offers an attractive framework for modelling uncertainties in long-range planning models. However, whether the expected outcome is implicitly / explicitly evaluated, such formulations lead to computationally intensive optimization problems. Focussing here on the scenario planning / multi-period approach for mixed integer ...
متن کاملOptimal Operation of Dispersed Generation under Uncertainty using Mathematical Programming
The foreseen decentralization of the electrical energy supply has a significant impact on the overall system operation and control. To increase the economic efficiency of dispersed generation (DG) a powerful optimization technique is required. This paper presents a mathematical model including different kinds of DG units with respect to their technical characteristics as well as the optimizatio...
متن کاملModel-based dose finding under model uncertainty using general parametric models.
The statistical methodology for the design and analysis of clinical Phase II dose-response studies, with related software implementation, is well developed for the case of a normally distributed, homoscedastic response considered for a single timepoint in parallel group study designs. In practice, however, binary, count, or time-to-event endpoints are encountered, typically measured repeatedly ...
متن کاملExact Nonlinear Filtering and Prediction in Process Model-Based Prognostics
Opportunities exist to apply nonlinear filtering to model-based prognostics in order to provide a systematic way of dealing with the propagation of system damage at some future time, whenever imprecise diagnostic information is obtained. Central to the prognostics problem is the ability to properly capture and manage uncertainties when predicting remaining useful life of a particular component ...
متن کاملExact Reasoning Under Uncertainty
This paper discusses the use of uncertain knowledge in eipert systems. The discussion is focused on the use of these systems to support decision making in complei, uncertain environments. Within this conteit, our research indicates that strictly probabilistic representations, which enable the use or decision-theoretic reasoning, are highly preferable to recently proposed alternatives. Furthermo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Engineering
سال: 2017
ISSN: 2095-8099
DOI: 10.1016/j.eng.2017.02.008