Open AccessRobust model reference tracking control for interval type‐2 fuzzy stochastic systems
Author(s) -
Kavikumar Ramasamy,
Sakthivel Rathinasamy,
Kwon OhMin,
Kaviarasan Boomipalagan
Publication year - 2020
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2019.0781
Subject(s) - control theory (sociology) , fuzzy control system , interval (graph theory) , mathematics , fuzzy logic , filter (signal processing) , robust control , controller (irrigation) , lyapunov stability , linear matrix inequality , estimator , computer science , control system , control (management) , mathematical optimization , engineering , artificial intelligence , agronomy , electrical engineering , combinatorics , computer vision , biology , statistics
This study considers the uncertainty and disturbance estimator‐based control problem for interval type‐2 fuzzy stochastic systems with disturbances. The proposed control approach accurately estimates system unknown delays, uncertainties, non‐linearities and external disturbances by introducing an appropriate filter. Precisely, the filter's bandwidth is one of the most important parameters in designing and tuning the controller to deal with unknown delays, uncertainties, non‐linearities and disturbances. By using the Lyapunov–Krasovskii stability theorem and the linear matrix inequality approach, the required stability conditions and the control gain matrices for the system under consideration are obtained. Further, the effectiveness of the proposed control law is verified using two numerical examples.