Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Optimal control of biotechnological processes described by fuzzy sets
AU - Angelov, Plamen
AU - Tzonkov, Stoyan
N1 - The final, definitive version of this article has been published in the Journal, Journal of Process Control 3 (3), 1993, © ELSEVIER.
PY - 1993
Y1 - 1993
N2 - Fuzzy set theory is applied to extend the optimal control problem for complex objects such as biotechnological processes. It allows inclusion of all possible and admissible process states in the problem formulation. A new approach for model representation with convenient fuzzy sets taking into account expert experience is proposed. Bellman-Zadeh's approach is applied to transform a fuzzy optimal control problem ot a deterministic one which is solved numerically. Optimal control of a real-life fermentation process is determined and a better solution is reached due to more realistic and flexible problem formulation. (c) Elsevier
AB - Fuzzy set theory is applied to extend the optimal control problem for complex objects such as biotechnological processes. It allows inclusion of all possible and admissible process states in the problem formulation. A new approach for model representation with convenient fuzzy sets taking into account expert experience is proposed. Bellman-Zadeh's approach is applied to transform a fuzzy optimal control problem ot a deterministic one which is solved numerically. Optimal control of a real-life fermentation process is determined and a better solution is reached due to more realistic and flexible problem formulation. (c) Elsevier
KW - Add DCS-publications-id
KW - art-561
KW - Add DCS-publications-personnel-id
KW - 82
U2 - 10.1016/0959-1524(93)80020-C
DO - 10.1016/0959-1524(93)80020-C
M3 - Journal article
VL - 3
SP - 147
EP - 152
JO - Journal of Process Control
JF - Journal of Process Control
SN - 0959-1524
IS - 3
ER -