A methodology of estimating hybrid black-box - prior knowledge models of an industrial processes
Marcin Stachura , Krzysztof Janiszowski
AbstractThe 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.
|Publication size in sheets||0.5|
|Book||2011 16th International Conference on Methods and Models in Automation and Robotics (MMAR), 2011, ISBN 978-145-770-91-28|
|Keywords in English||black-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|
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