Generalized Projective Synchronization of Chaotic Heavy Gyroscope Systems via Sliding Rule-Based Fuzzy Control. (3rd January 2012)
- Record Type:
- Journal Article
- Title:
- Generalized Projective Synchronization of Chaotic Heavy Gyroscope Systems via Sliding Rule-Based Fuzzy Control. (3rd January 2012)
- Main Title:
- Generalized Projective Synchronization of Chaotic Heavy Gyroscope Systems via Sliding Rule-Based Fuzzy Control
- Authors:
- Farivar Farivar, Faezeh Faezeh
Aliyari Shoorehdeli Aliyari Shoorehdeli, Mahdi Mahdi
Nekoui Nekoui, Mohammad Ali Mohammad Ali
Teshnehlab Teshnehlab, Mohammad Mohammad - Other Names:
- Phalp Phalp K. K. Academic Editor.
- Abstract:
- Abstract : This paper proposes the generalized projective synchronization for chaotic heavy symmetric gyroscope systems versus external disturbances via sliding rule-based fuzzy control. Because of the nonlinear terms of the gyroscope, the system exhibits complex and chaotic motions. Based on Lyapunov stability theory and fuzzy rules, the nonlinear controller and some generic sufficient conditions for global asymptotic synchronization are attained. The fuzzy rules are directly constructed subject to a common Lyapunov function such that the error dynamics of two identical chaotic motions of symmetric gyros satisfy stability in the Lyapunov sense. The proposed method allows us to arbitrarily adjust the desired scaling by controlling the slave system. It is not necessary to calculate the Lyapunov exponents and the Eigen values of the Jacobian matrix. It is a systematic procedure for synchronization of chaotic systems. It can be applied to a variety of chaotic systems no matter whether it contains external excitation or not. It needs only one controller to realize synchronization no matter how much dimensions the chaotic system contains, and the controller is easy to be implemented. The designed controller is robust versus model uncertainty and external disturbances. Numerical simulation results demonstrate the validity and feasibility of the proposed method.
- Is Part Of:
- ISRN artificial intelligence. Volume 2012(2012)
- Journal:
- ISRN artificial intelligence
- Issue:
- Volume 2012(2012)
- Issue Display:
- Volume 2012, Issue 2012 (2012)
- Year:
- 2012
- Volume:
- 2012
- Issue:
- 2012
- Issue Sort Value:
- 2012-2012-2012-0000
- Page Start:
- Page End:
- Publication Date:
- 2012-01-03
- Subjects:
- Artificial intelligence -- Periodicals
Artificial intelligence
Periodicals
006.3 - Journal URLs:
- http://bibpurl.oclc.org/web/51822 ↗
https://www.hindawi.com/journals/isrn/contents/isrn.artificial.intelligence/ ↗ - DOI:
- 10.5402/2012/576873 ↗
- Languages:
- English
- ISSNs:
- 2090-7435
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 15904.xml