State Estimation for General Complex Dynamical Networks with Incompletely Measured Information
Estimating uncertain state variables of a general complex dynamical network with randomly incomplete measurements of transmitted output variables is investigated in this paper. The incomplete measurements, occurring randomly through the transmission of output variables, always cause the failure of t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-12-01
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| Series: | Entropy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1099-4300/20/1/5 |
| _version_ | 1828371927824072704 |
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| author | Xinwei Wang Guo-Ping Jiang Xu Wu |
| author_facet | Xinwei Wang Guo-Ping Jiang Xu Wu |
| author_sort | Xinwei Wang |
| collection | DOAJ |
| description | Estimating uncertain state variables of a general complex dynamical network with randomly incomplete measurements of transmitted output variables is investigated in this paper. The incomplete measurements, occurring randomly through the transmission of output variables, always cause the failure of the state estimation process. Different from the existing methods, we propose a novel method to handle the incomplete measurements, which can perform well to balance the excessively deviated estimators under the influence of incomplete measurements. In particular, the proposed method has no special limitation on the node dynamics compared with many existing methods. By employing the Lyapunov stability theory along with the stochastic analysis method, sufficient criteria are deduced rigorously to ensure obtaining the proper estimator gains with known model parameters. Illustrative simulation for the complex dynamical network composed of chaotic nodes are given to show the validity and efficiency of the proposed method. |
| first_indexed | 2024-04-14T06:56:08Z |
| format | Article |
| id | doaj.art-5d1a736d96ce473288ace4afccd6d1f3 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-14T06:56:08Z |
| publishDate | 2017-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-5d1a736d96ce473288ace4afccd6d1f32022-12-22T02:06:53ZengMDPI AGEntropy1099-43002017-12-01201510.3390/e20010005e20010005State Estimation for General Complex Dynamical Networks with Incompletely Measured InformationXinwei Wang0Guo-Ping Jiang1Xu Wu2College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, ChinaCollege of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, ChinaCollege of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, ChinaEstimating uncertain state variables of a general complex dynamical network with randomly incomplete measurements of transmitted output variables is investigated in this paper. The incomplete measurements, occurring randomly through the transmission of output variables, always cause the failure of the state estimation process. Different from the existing methods, we propose a novel method to handle the incomplete measurements, which can perform well to balance the excessively deviated estimators under the influence of incomplete measurements. In particular, the proposed method has no special limitation on the node dynamics compared with many existing methods. By employing the Lyapunov stability theory along with the stochastic analysis method, sufficient criteria are deduced rigorously to ensure obtaining the proper estimator gains with known model parameters. Illustrative simulation for the complex dynamical network composed of chaotic nodes are given to show the validity and efficiency of the proposed method.https://www.mdpi.com/1099-4300/20/1/5state estimationcomplex dynamical networkincomplete measurements |
| spellingShingle | Xinwei Wang Guo-Ping Jiang Xu Wu State Estimation for General Complex Dynamical Networks with Incompletely Measured Information Entropy state estimation complex dynamical network incomplete measurements |
| title | State Estimation for General Complex Dynamical Networks with Incompletely Measured Information |
| title_full | State Estimation for General Complex Dynamical Networks with Incompletely Measured Information |
| title_fullStr | State Estimation for General Complex Dynamical Networks with Incompletely Measured Information |
| title_full_unstemmed | State Estimation for General Complex Dynamical Networks with Incompletely Measured Information |
| title_short | State Estimation for General Complex Dynamical Networks with Incompletely Measured Information |
| title_sort | state estimation for general complex dynamical networks with incompletely measured information |
| topic | state estimation complex dynamical network incomplete measurements |
| url | https://www.mdpi.com/1099-4300/20/1/5 |
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