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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10838517/ |
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| Summary: | 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. |
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| ISSN: | 2169-3536 |