Modeling and control of an unstable system using probabilistic fuzzy inference system

• Autorzy: Sozhamadevi N. , Sathiyamoorthy S.

Identyfikatory

DOI

10.1515/acsc-2015-0025

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

inverted pendulum and cart system; probabilistic fuzzy set; probabilistic fuzzy relation; probabilistic fuzzy inference system; probabilistic fuzzy logic controller

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2015
• Tom: Vol. 25, no. 3
• Strony: 377--396
• Opis fizyczny: Bibliogr. 25 poz., schem., tab., wykr., wzory

Twórcy

autor

Sozhamadevi N.

• Department of Electronics and Communication Engineering, BIT Campus, Anna University, Tiruchirappalli, Tamil Nadu, India

autor

Sathiyamoorthy S.

• Department of Electronics and Instrumentation Engineering, J.J. College of Engineering and Technology, Tiruchirappalli, Tami Nadu, India

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