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Tutorial August 24

The tutorial "Physical and Data Driven Modeling for Control - with Applications from the Paper Industry" will be given August 24 (full day) by professors Håkan Hjalmarsson and Cristian Rojas from KTH. Short description:

Modelling is an essential component for the successful implementation and commissioning of industrial controllers. Roughly speaking, there are two ways to model an industrial process: one can either start from a physical/chemical understanding of the process, and write the relevant balance/constitutive equations (this is called physical modeling), or one can perform an experiment on the process, and apply state-of-the-art statistical principles to derive a model (this is called data-driven modeling, or system identification). Other techniques, based on combining the previously mentioned approaches, are also useful in practice. In this tutorial, we will introduce the basic components of physical and data-driven modeling for control, and, as a concrete example, we will present an application to the problem of modelling the wet- and dry-end sections of a paper machine.
 

Slides now available:

Physical Modeling (pdf 3,9 MB)

System Identification (pdf 1,2 MB)

Program:

09.30-10.00: Welcome coffee and sandwich

10.00-12.00: Physical modeling, Part I: Preliminaries, Basic principles (causality, conservation laws, objectivity, aggregation), Algebraic loops 

12.00-13.00: Lunch

13.00-14.00: Physical modeling, Part II: Modelica, including hands-on exercise

14.00-15.15: System Identification, Part I:  Examples of common problems in practice, model structures, parameter estimation, fundamentals, errors-in-variables identification

15.15-15.30: Coffee

15.30-17.00: System Identification, Part II: Accuracy, fundamental limitations, application-oriented experiment design, model validation and model structure selection, beating the fundamental limitations, state-of-the-art, summary

18.00: Dinner

The tutorial will be held at the Workshop venue Sigtuna Foundation in Sigtuna. See under Venue and travel for travel directions.

Tillhör: Skolan för elektroteknik och datavetenskap (EECS)
Senast ändrad: 2016-08-28