Observer-Based Fuzzy Control for Memristive Circuit Systems

Joint Authors

Ye, Qian
Lou, Xuyang

Source

Complexity

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-09-24

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Philosophy

Abstract EN

This paper proposes an observer-based fuzzy control scheme for a class of memristive chaotic circuit systems.

First, the Takagi-Sugeno fuzzy model is adopted to reconstruct the nonlinear chaotic circuit system.

Next, based on the proposed fuzzy model, an observer-based fuzzy controller is developed to estimate the states and stabilize the origin.

Third, the results are extended to explore the L∞-gain observer-based fuzzy control for the chaotic system with disturbances.

Finally, simulation results are also addressed to show the effectiveness of the proposed control scheme.

American Psychological Association (APA)

Ye, Qian& Lou, Xuyang. 2018. Observer-Based Fuzzy Control for Memristive Circuit Systems. Complexity،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1136353

Modern Language Association (MLA)

Ye, Qian& Lou, Xuyang. Observer-Based Fuzzy Control for Memristive Circuit Systems. Complexity No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1136353

American Medical Association (AMA)

Ye, Qian& Lou, Xuyang. Observer-Based Fuzzy Control for Memristive Circuit Systems. Complexity. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1136353

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1136353