Event-Based State Estimation for Networked Singularly Perturbed Complex Networks
This paper deals with the multievent-triggering-based state estimation for a class of discrete-time networked singularly perturbed complex networks (SPCNs). A small singularly perturbed scalar is adopted to establish a discrete-time SPCNs model. To reduce the communication burdens, the data transmis...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/6122921 |
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| _version_ | 1832558393923993600 |
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| author | Zerong Ren |
| author_facet | Zerong Ren |
| author_sort | Zerong Ren |
| collection | DOAJ |
| description | This paper deals with the multievent-triggering-based state estimation for a class of discrete-time networked singularly perturbed complex networks (SPCNs). A small singularly perturbed scalar is adopted to establish a discrete-time SPCNs model. To reduce the communication burdens, the data transmission between the sensor and the estimator is managed by a multievent generator function. Depending on the singularly-perturbed-based Lyapunov theory, a sufficient condition is constructed to guarantee that the estimation error is exponentially ultimately bounded in the mean square. Finally, the validity of the developed result is demonstrated by a simulation example. |
| format | Article |
| id | doaj-art-7bf2726877c34e39857e16c3a06b8a31 |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-7bf2726877c34e39857e16c3a06b8a312025-02-03T01:32:27ZengWileyComplexity1099-05262022-01-01202210.1155/2022/6122921Event-Based State Estimation for Networked Singularly Perturbed Complex NetworksZerong Ren0School of MathematicsThis paper deals with the multievent-triggering-based state estimation for a class of discrete-time networked singularly perturbed complex networks (SPCNs). A small singularly perturbed scalar is adopted to establish a discrete-time SPCNs model. To reduce the communication burdens, the data transmission between the sensor and the estimator is managed by a multievent generator function. Depending on the singularly-perturbed-based Lyapunov theory, a sufficient condition is constructed to guarantee that the estimation error is exponentially ultimately bounded in the mean square. Finally, the validity of the developed result is demonstrated by a simulation example.http://dx.doi.org/10.1155/2022/6122921 |
| spellingShingle | Zerong Ren Event-Based State Estimation for Networked Singularly Perturbed Complex Networks Complexity |
| title | Event-Based State Estimation for Networked Singularly Perturbed Complex Networks |
| title_full | Event-Based State Estimation for Networked Singularly Perturbed Complex Networks |
| title_fullStr | Event-Based State Estimation for Networked Singularly Perturbed Complex Networks |
| title_full_unstemmed | Event-Based State Estimation for Networked Singularly Perturbed Complex Networks |
| title_short | Event-Based State Estimation for Networked Singularly Perturbed Complex Networks |
| title_sort | event based state estimation for networked singularly perturbed complex networks |
| url | http://dx.doi.org/10.1155/2022/6122921 |
| work_keys_str_mv | AT zerongren eventbasedstateestimationfornetworkedsingularlyperturbedcomplexnetworks |