Adaptive Neural Networks Control Using Barrier Lyapunov Functions for DC Motor System with Time-Varying State Constraints
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper proposes an adaptive neural network (NN) control approach for a direct-current (DC) system with full state constraints.
To guarantee that state constraints always remain in the asymmetric time-varying constraint regions, the asymmetric time-varying Barrier Lyapunov Function (BLF) is employed to structure an adaptive NN controller.
As we all know that the constant constraint is only a special case of the time-varying constraint, hence, the proposed control method is more general for dealing with constraint problem as compared with the existing works on DC systems.
As far as we know, this system is the first studied situations with time-varying constraints.
Using Lyapunov analysis, all signals in the closed-loop system are proved to be bounded and the constraints are not violated.
In this paper, the effectiveness of the control method is demonstrated by simulation results.
American Psychological Association (APA)
Ma, Lei& Li, Dapeng. 2018. Adaptive Neural Networks Control Using Barrier Lyapunov Functions for DC Motor System with Time-Varying State Constraints. Complexity،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1134496
Modern Language Association (MLA)
Ma, Lei& Li, Dapeng. Adaptive Neural Networks Control Using Barrier Lyapunov Functions for DC Motor System with Time-Varying State Constraints. Complexity No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1134496
American Medical Association (AMA)
Ma, Lei& Li, Dapeng. Adaptive Neural Networks Control Using Barrier Lyapunov Functions for DC Motor System with Time-Varying State Constraints. Complexity. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1134496
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134496