Robust model predictive control for polytopic uncertain systems via a high-rate network with the FlexRay protocol
In this article, the robust model predictive control (RMPC) problem is investigated for a class of polytopic uncertain systems over high-rate networks whose signal exchanges are scheduled by the FlexRay protocol (FRP). During signal measurement, a high-rate network is applied to broadcast the data f...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2025-01-01
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| Series: | PeerJ Computer Science |
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| Online Access: | https://peerj.com/articles/cs-2580.pdf |
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| author | Jianhua Wang Fuqiang Fan Yanye Yu Shuxin Du Xiaorui Guo |
| author_facet | Jianhua Wang Fuqiang Fan Yanye Yu Shuxin Du Xiaorui Guo |
| author_sort | Jianhua Wang |
| collection | DOAJ |
| description | In this article, the robust model predictive control (RMPC) problem is investigated for a class of polytopic uncertain systems over high-rate networks whose signal exchanges are scheduled by the FlexRay protocol (FRP). During signal measurement, a high-rate network is applied to broadcast the data from the sensors to the controller efficiently. The FRP including the characteristics of event-triggered mechanism and the time-triggered mechanism is embedded into the high-rate network to regulate the data transmission in a circular period which can improve the flexibility of data transmission. With the aid of the Round-Robin and Try-Once-Discard protocols, a new expression of the measurement model is formulated by the use of certain data holding strategies. Subsequently, taking both high-rate networks and FRP into account, sufficient conditions are obtained by solving a time-varying terminal constraint set of an auxiliary optimization problem. In addition, an algorithm including both off-line and on-line parts is provided to find a sub-optimal solution. Lastly, two numerical simulations are carried out to substantiate the validity of the proposed RMPC strategy which is based on FRP and a high-rate network. |
| format | Article |
| id | doaj-art-183dde6955ef414da1acedca697b1635 |
| institution | Kabale University |
| issn | 2376-5992 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj-art-183dde6955ef414da1acedca697b16352025-01-08T15:05:25ZengPeerJ Inc.PeerJ Computer Science2376-59922025-01-0111e258010.7717/peerj-cs.2580Robust model predictive control for polytopic uncertain systems via a high-rate network with the FlexRay protocolJianhua WangFuqiang FanYanye YuShuxin DuXiaorui GuoIn this article, the robust model predictive control (RMPC) problem is investigated for a class of polytopic uncertain systems over high-rate networks whose signal exchanges are scheduled by the FlexRay protocol (FRP). During signal measurement, a high-rate network is applied to broadcast the data from the sensors to the controller efficiently. The FRP including the characteristics of event-triggered mechanism and the time-triggered mechanism is embedded into the high-rate network to regulate the data transmission in a circular period which can improve the flexibility of data transmission. With the aid of the Round-Robin and Try-Once-Discard protocols, a new expression of the measurement model is formulated by the use of certain data holding strategies. Subsequently, taking both high-rate networks and FRP into account, sufficient conditions are obtained by solving a time-varying terminal constraint set of an auxiliary optimization problem. In addition, an algorithm including both off-line and on-line parts is provided to find a sub-optimal solution. Lastly, two numerical simulations are carried out to substantiate the validity of the proposed RMPC strategy which is based on FRP and a high-rate network.https://peerj.com/articles/cs-2580.pdfFlexRay protocolHigh-rate networkOFRMPCPolytopic uncertain systemsToken-dependent Lyapunov-like |
| spellingShingle | Jianhua Wang Fuqiang Fan Yanye Yu Shuxin Du Xiaorui Guo Robust model predictive control for polytopic uncertain systems via a high-rate network with the FlexRay protocol PeerJ Computer Science FlexRay protocol High-rate network OFRMPC Polytopic uncertain systems Token-dependent Lyapunov-like |
| title | Robust model predictive control for polytopic uncertain systems via a high-rate network with the FlexRay protocol |
| title_full | Robust model predictive control for polytopic uncertain systems via a high-rate network with the FlexRay protocol |
| title_fullStr | Robust model predictive control for polytopic uncertain systems via a high-rate network with the FlexRay protocol |
| title_full_unstemmed | Robust model predictive control for polytopic uncertain systems via a high-rate network with the FlexRay protocol |
| title_short | Robust model predictive control for polytopic uncertain systems via a high-rate network with the FlexRay protocol |
| title_sort | robust model predictive control for polytopic uncertain systems via a high rate network with the flexray protocol |
| topic | FlexRay protocol High-rate network OFRMPC Polytopic uncertain systems Token-dependent Lyapunov-like |
| url | https://peerj.com/articles/cs-2580.pdf |
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