Chaos synchronization using differential equations as extended state observer. (December 2021)
- Record Type:
- Journal Article
- Title:
- Chaos synchronization using differential equations as extended state observer. (December 2021)
- Main Title:
- Chaos synchronization using differential equations as extended state observer
- Authors:
- Izadbakhsh, Alireza
Nikdel, Nazila - Abstract:
- Highlights: Due to the universal approximation property of differential equations, the lumped uncertainties are represented with this mathematical tool. The proposed ESO can estimate the uncertainties along with the states of the system, enabling disturbance rejection or compensation. It is model free and simple for implementation. Performance evaluation has been carried out to verify the satisfactory performance of the transient response of the controller. Abstract: In this paper, an extended state observer (ESO) is presented for synchronizing a chaotic master-slave system based on linear differential equations. The universal approximation property enables linear differential equations to estimate uncertainties, consisting of disturbances and unmodeled dynamics. The main contribution of this study is developing a control scheme based on ESO, which is designed using differential equations. In other words, an Nth-order linear differential equation is utilized to model the lumped uncertainty. The controller is proposed based on a model-free approach to eliminate the need for accurate information from the system model and assure a robust tracking performance. Furthermore, a thorough mathematical analysis is given based on the Lyapunov stability theorem to confirm the uniform ultimate boundedness of the observation/tracking approximation errors. To analyze the performance of the ESO-controller scheme in terms of transient response behavior and robustness, the Duffing-HolmesHighlights: Due to the universal approximation property of differential equations, the lumped uncertainties are represented with this mathematical tool. The proposed ESO can estimate the uncertainties along with the states of the system, enabling disturbance rejection or compensation. It is model free and simple for implementation. Performance evaluation has been carried out to verify the satisfactory performance of the transient response of the controller. Abstract: In this paper, an extended state observer (ESO) is presented for synchronizing a chaotic master-slave system based on linear differential equations. The universal approximation property enables linear differential equations to estimate uncertainties, consisting of disturbances and unmodeled dynamics. The main contribution of this study is developing a control scheme based on ESO, which is designed using differential equations. In other words, an Nth-order linear differential equation is utilized to model the lumped uncertainty. The controller is proposed based on a model-free approach to eliminate the need for accurate information from the system model and assure a robust tracking performance. Furthermore, a thorough mathematical analysis is given based on the Lyapunov stability theorem to confirm the uniform ultimate boundedness of the observation/tracking approximation errors. To analyze the performance of the ESO-controller scheme in terms of transient response behavior and robustness, the Duffing-Holmes oscillator is considered as the simulation testbed. A set of five different experiments are conducted to evaluate the efficiency of the introduced control approach. The results of ESO are also compared with two powerful approximation methods. … (more)
- Is Part Of:
- Chaos, solitons and fractals. Volume 153:Part 1(2021)
- Journal:
- Chaos, solitons and fractals
- Issue:
- Volume 153:Part 1(2021)
- Issue Display:
- Volume 153, Issue 1, Part 1 (2021)
- Year:
- 2021
- Volume:
- 153
- Issue:
- 1
- Part:
- 1
- Issue Sort Value:
- 2021-0153-0001-0001
- Page Start:
- Page End:
- Publication Date:
- 2021-12
- Subjects:
- Differential equations -- Chaos synchronization -- Universal approximation theorem -- Extended state observer
Chaotic behavior in systems -- Periodicals
Solitons -- Periodicals
Fractals -- Periodicals
Chaotic behavior in systems
Fractals
Solitons
Periodicals
003.7 - Journal URLs:
- http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science/journal/09600779 ↗ - DOI:
- 10.1016/j.chaos.2021.111433 ↗
- Languages:
- English
- ISSNs:
- 0960-0779
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3129.716000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20202.xml