Set-Membership Estimation for Complex Networks Under FlexRay Protocol Based on the Proportional-Integral Observer With Probability Constraint
This paper explores the design of proportional-integral observer (PIO) for a type of time-varying stochastic nonlinear complex networks in which the network dynamics are corrupted by the unknown but bounded noises. With the aim to efficiently regulate the data exchange between network nodes, a trans...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10838517/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832576778631118848 |
|---|---|
| author | Chaochen Wang Miaomiao Shi |
| author_facet | Chaochen Wang Miaomiao Shi |
| author_sort | Chaochen Wang |
| collection | DOAJ |
| description | This paper explores the design of proportional-integral observer (PIO) for a type of time-varying stochastic nonlinear complex networks in which the network dynamics are corrupted by the unknown but bounded noises. With the aim to efficiently regulate the data exchange between network nodes, a transmitting scheme called FlexRay protocol (FRP) is adopted. It is the primary objective to provide a proportional-integral (PI) estimation approach with the capability of driving all estimation errors at individual nodes into a desired region with a predetermined probability. Sufficient conditions are presented, via certain optimization techniques, to enure the existence of desired PIO and corresponding observer parameters. Subsequently, within the established framework, we solve two sub-optimization problems to guarantee the locally optimal estimation performance. Finally, the effectiveness of the proposed paradigm is shown via a numerical simulation example. |
| format | Article |
| id | doaj-art-b625ee5ddc85436bb1cd21d13de4d28f |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-b625ee5ddc85436bb1cd21d13de4d28f2025-01-31T00:00:38ZengIEEEIEEE Access2169-35362025-01-0113190751908410.1109/ACCESS.2025.352865310838517Set-Membership Estimation for Complex Networks Under FlexRay Protocol Based on the Proportional-Integral Observer With Probability ConstraintChaochen Wang0Miaomiao Shi1https://orcid.org/0009-0002-2082-9783School of Automation, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Automation, Nanjing University of Science and Technology, Nanjing, ChinaThis paper explores the design of proportional-integral observer (PIO) for a type of time-varying stochastic nonlinear complex networks in which the network dynamics are corrupted by the unknown but bounded noises. With the aim to efficiently regulate the data exchange between network nodes, a transmitting scheme called FlexRay protocol (FRP) is adopted. It is the primary objective to provide a proportional-integral (PI) estimation approach with the capability of driving all estimation errors at individual nodes into a desired region with a predetermined probability. Sufficient conditions are presented, via certain optimization techniques, to enure the existence of desired PIO and corresponding observer parameters. Subsequently, within the established framework, we solve two sub-optimization problems to guarantee the locally optimal estimation performance. Finally, the effectiveness of the proposed paradigm is shown via a numerical simulation example.https://ieeexplore.ieee.org/document/10838517/FlexRay protocol (FRP)proportional-integral observer (PIO)probability-guaranteed estimationset-membership estimationcomplex networks |
| spellingShingle | Chaochen Wang Miaomiao Shi Set-Membership Estimation for Complex Networks Under FlexRay Protocol Based on the Proportional-Integral Observer With Probability Constraint IEEE Access FlexRay protocol (FRP) proportional-integral observer (PIO) probability-guaranteed estimation set-membership estimation complex networks |
| title | Set-Membership Estimation for Complex Networks Under FlexRay Protocol Based on the Proportional-Integral Observer With Probability Constraint |
| title_full | Set-Membership Estimation for Complex Networks Under FlexRay Protocol Based on the Proportional-Integral Observer With Probability Constraint |
| title_fullStr | Set-Membership Estimation for Complex Networks Under FlexRay Protocol Based on the Proportional-Integral Observer With Probability Constraint |
| title_full_unstemmed | Set-Membership Estimation for Complex Networks Under FlexRay Protocol Based on the Proportional-Integral Observer With Probability Constraint |
| title_short | Set-Membership Estimation for Complex Networks Under FlexRay Protocol Based on the Proportional-Integral Observer With Probability Constraint |
| title_sort | set membership estimation for complex networks under flexray protocol based on the proportional integral observer with probability constraint |
| topic | FlexRay protocol (FRP) proportional-integral observer (PIO) probability-guaranteed estimation set-membership estimation complex networks |
| url | https://ieeexplore.ieee.org/document/10838517/ |
| work_keys_str_mv | AT chaochenwang setmembershipestimationforcomplexnetworksunderflexrayprotocolbasedontheproportionalintegralobserverwithprobabilityconstraint AT miaomiaoshi setmembershipestimationforcomplexnetworksunderflexrayprotocolbasedontheproportionalintegralobserverwithprobabilityconstraint |