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A Case Study on Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise: Utilizing Artificial Intelligence Techniques to Design an Effective Active Suspension System
Author
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-25
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The goal of this research is to design an Artificial Intelligence controller for the active suspension system of vehicles.
The Ring Probabilistic Logic Neural Network (RPLNN) architecture has been adopted to design the proposed controller, and the pavement condition has been modelled utilizing Gaussian white noise.
The results show that the proposed RPLNN controller has an effective performance to reduce the unwanted stochastic effect of the road profile.
American Psychological Association (APA)
Azizi, Aydin. 2020. A Case Study on Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise: Utilizing Artificial Intelligence Techniques to Design an Effective Active Suspension System. Complexity،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1143624
Modern Language Association (MLA)
Azizi, Aydin. A Case Study on Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise: Utilizing Artificial Intelligence Techniques to Design an Effective Active Suspension System. Complexity No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1143624
American Medical Association (AMA)
Azizi, Aydin. A Case Study on Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise: Utilizing Artificial Intelligence Techniques to Design an Effective Active Suspension System. Complexity. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1143624
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143624