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Observer-Based $H_\infty$ Repetitive Control for Fractional-Order Interval Type-2 TS Fuzzy Systems
Author(s) -
R. sakthivel,
R. Kavikumar,
Yong-Ki Ma,
Yong Ren,
S. Marshal Anthoni
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2867612
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
This study explores the observer-based $H_\infty$ repetitive control problem for a class of fractional-order systems subject to external disturbances described by an interval type-2 Takagi-Sugeno fuzzy model approach. By combining the Lyapunov method and linear matrix inequalities technique, a tracking control input is designed with a prescribed disturbance attenuation performance level such that all states of the resulting closed-loop control system will be bounded and the tracking error can fluctuate near the origin in a small neighborhood. The main attention of this work is focused on the design of the repetitive tracking controller to asymptotically stabilize the fractional-order nonlinear systems and to achieve $H_\infty$ tracking performance. Precisely, a new set of sufficient conditions is derived in the form of linear matrix inequalities that ensure the desired stability and $H_\infty$ performance, and the controller gain is then computed. Finally, a numerical example is exploited to demonstrate the effectiveness and potential of the proposed control design technique.

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