A methodology of estimating hybrid black-box - prior knowledge models of an industrial processes

Marcin Stachura , Krzysztof Janiszowski

Abstract

The paper presents a combined prior knowledge - black-box approach to modeling of the dynamic systems. Proposed methodology assumes two basic steps: first an optimization of a physical model, using Particle Swarm Optimization algorithm is performed. Next, a black-box model is estimated so as to reduce the remaining error of the physical model. Proposed methodology was presented on the example of improving the accuracy of a pneumatic actuator physical model.
Author Marcin Stachura (FM / IACR)
Marcin Stachura,,
- The Institute of Automatic Control and Robotics
, Krzysztof Janiszowski (FM / IACR)
Krzysztof Janiszowski,,
- The Institute of Automatic Control and Robotics
Pages11-15
Publication size in sheets0.5
Book 2011 16th International Conference on Methods and Models in Automation and Robotics (MMAR), 2011, ISBN 978-145-770-91-28
Keywords in Englishblack-box approach, complex nonlinear systems, difference equations, dynamic system modeling, fuzzy control, Fuzzy sets, fuzzy set theory, fuzzy TSK model, industrial process, large-scale systems, nonlinear systems, particle swarm optimization algorithm, physical model optimization, pneumatic actuator physical model, pneumatic actuators, prior knowledge model
DOIDOI:10.1109/MMAR.2011.6031307
Languageen angielski
Score (nominal)10
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