Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain Environment
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In order to achieve the actual inventory effectively tracking the target inventory under uncertain environment, this paper investigates an adaptive inventory controller for the production-inventory system.
First, an uncertain production-inventory model is constructed, and then, the uncertainty of the production-inventory model is approximated by a fuzzy neural network.
Secondly, in terms of the design of adaptive control law, the adaptive inventory controller is developed.
Under the adaptive inventory controller, the actual inventory can track the target inventory in real time and the production-inventory system can be robustly stable in uncertain environment.
Finally, the results of three simulation experiments show that the proposed adaptive inventory controller can realize both the fast tracking speed and the high tracking accuracy.
American Psychological Association (APA)
Ge, Jianqiao& Zhang, Songtao. 2020. Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain Environment. Complexity،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1142798
Modern Language Association (MLA)
Ge, Jianqiao& Zhang, Songtao. Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain Environment. Complexity No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1142798
American Medical Association (AMA)
Ge, Jianqiao& Zhang, Songtao. Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain Environment. Complexity. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1142798
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142798