dr inż. Rafał Łangowski
- Katedra Inteligentnych Systemów Sterowania i Wspomagania Decyzji
- Wydział Elektrotechniki i Automatyki
A problem of respiration rate estimation using two new non-linear observers for a wastewater treatment plant is addressed in this paper. In particular, a non-linear adaptive Luenberger-like observer and a super twisting sliding mode observer have been derived to produce stable and bounded estimates of the respiration rate. During the synthesis of the particular observer, an appropriate mathematical utility model was used. The observability...
An observability and detectability analysis for non-linear uncertain CSTR model of biochemical processes
The problem of proving observability/detectability properties for selected non-linear uncertain model of biochemical processes has been addressed in this paper. In particular, the analysis of observability/detectability in the face of parametric and unstructured uncertainty in system dynamics transformed into unknown inputs, and unknown initial conditions has been performed. Various sets of system measured outputs were taken into...
An automatic selection of optimal recurrent neural network architecture for processes dynamics modelling purposes
A problem related to the development of algorithms designed to find the structure of artificial neural network used for behavioural (black-box) modelling of selected dynamic processes has been addressed in this paper. The research has included four original proposals of algorithms dedicated to neural network architecture search. Algorithms have been based on well-known optimisation techniques such as evolutionary algorithms and...
Uzyskane stopnie/tytuły naukowe
Nadanie stopnia naukowegodr inż. Automatyka i robotyka (Dziedzina nauk technicznych)
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