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Design of Intelligent Controllers for Biotechnological Process
| Content Provider | Semantic Scholar |
|---|---|
| Author | Mészáros, Alojz Vöröš, Juraj |
| Copyright Year | 2008 |
| Abstract | This paper deals with intelligent controller design using artificial neural networks (ANN) in the role of feedback controllers. Neural controllers are built up and trained as inverse neural process models. Their performance and robustness are, gradually, improved and augmented by introducing, first, an adaptive simple integrator and, then, a controller with fuzzy integrator part. The proposed ANN control system performance is demonstrated a non-linear continuous biochemical process model with simulated uncertainties. MATLAB programme package environment has been used to build up and train the ANN feedback controllers. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.acs.chtf.stuba.sk/papers/acs_0019.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
