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Adaptive Decentralized Control Scheme for a Stochastic Interconnected System
Joint Authors
Jiang, Xiaoli
Liu, Siqi
Liu, Mingyue
Yang, Li
Liu, Lina
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-29
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This work investigates a decentralized state feedback scheme of neural network control for an interconnected system.
The completely unknown associated terms are estimated directly by the neural structure.
A modified approach is proposed to deal with the state feedback format.
By combining the Lyapunov function and backstepping technology together, an adaptive decentralized controller is established, and we can construct the boundedness of all signals in the closed-loop structure through the controller, which can drive the formation of a given reference signal.
In the end, the effectiveness of the presented strategy is referred to a simulation example.
American Psychological Association (APA)
Jiang, Xiaoli& Liu, Siqi& Liu, Mingyue& Yang, Li& Liu, Lina. 2020. Adaptive Decentralized Control Scheme for a Stochastic Interconnected System. Complexity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1142675
Modern Language Association (MLA)
Jiang, Xiaoli…[et al.]. Adaptive Decentralized Control Scheme for a Stochastic Interconnected System. Complexity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1142675
American Medical Association (AMA)
Jiang, Xiaoli& Liu, Siqi& Liu, Mingyue& Yang, Li& Liu, Lina. Adaptive Decentralized Control Scheme for a Stochastic Interconnected System. Complexity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1142675
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142675