- Tytuł:
- Modeling and control of an unstable system using probabilistic fuzzy inference system
- Autorzy:
-
Sozhamadevi, N.
Sathiyamoorthy, S. - Powiązania:
- https://bibliotekanauki.pl/articles/229309.pdf
- Data publikacji:
- 2015
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
inverted pendulum and cart system
probabilistic fuzzy set
probabilistic fuzzy relation
probabilistic fuzzy inference system
probabilistic fuzzy logic controller - Opis:
- A new type Fuzzy Inference System is proposed, a Probabilistic Fuzzy Inference system which model and minimizes the effects of statistical uncertainties. The blend of two different concepts, degree of truth and probability of truth in a unique framework leads to this new concept. This combination is carried out both in Fuzzy sets and Fuzzy rules, which gives rise to Probabilistic Fuzzy Sets and Probabilistic Fuzzy Rules. Introducing these probabilistic elements, a distinctive probabilistic fuzzy inference system is developed and this involves fuzzification, inference and output processing. This integrated approach accounts for all of the uncertainty like rule uncertainties and measurement uncertainties present in the systems and has led to the design which performs optimally after training. In this paper a Probabilistic Fuzzy Inference System is applied for modeling and control of a highly nonlinear, unstable system and also proved its effectiveness.
- Źródło:
-
Archives of Control Sciences; 2015, 25, 3; 377-396
1230-2384 - Pojawia się w:
- Archives of Control Sciences
- Dostawca treści:
- Biblioteka Nauki
Artykuł