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
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 Gauss...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/7179801 |
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| _version_ | 1832550974723457024 |
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| author | Aydin Azizi |
| author_facet | Aydin Azizi |
| author_sort | Aydin Azizi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5d6de9d601364872abbaffc869a4b4f8 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-5d6de9d601364872abbaffc869a4b4f82025-02-03T06:05:16ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/71798017179801A 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 SystemAydin Azizi0School of Engineering, Computing and Mathematics, Oxford Brookes University, Wheatley Campus, Oxford No. 33 1HX, UKThe 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.http://dx.doi.org/10.1155/2020/7179801 |
| spellingShingle | Aydin Azizi 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 |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| url | http://dx.doi.org/10.1155/2020/7179801 |
| work_keys_str_mv | AT aydinazizi acasestudyoncomputerbasedanalysisofthestochasticstabilityofmechanicalstructuresdrivenbywhiteandcolorednoiseutilizingartificialintelligencetechniquestodesignaneffectiveactivesuspensionsystem AT aydinazizi casestudyoncomputerbasedanalysisofthestochasticstabilityofmechanicalstructuresdrivenbywhiteandcolorednoiseutilizingartificialintelligencetechniquestodesignaneffectiveactivesuspensionsystem |