SIP-Based Single Neuron Stochastic Predictive Control for Non-Gaussian Networked Control Systems with Uncertain Metrology Delays
In this paper, a novel data-driven single neuron predictive control strategy is proposed for non-Gaussian networked control systems with metrology delays in the information theory framework. Firstly, survival information potential (SIP), instead of minimum entropy, is used to formulate the performan...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-06-01
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| Series: | Entropy |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1099-4300/20/7/494 |
| _version_ | 1798034715265990656 |
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| author | Xinying Xu Yalan Zhao Mifeng Ren Lan Cheng Mingyue Gong |
| author_facet | Xinying Xu Yalan Zhao Mifeng Ren Lan Cheng Mingyue Gong |
| author_sort | Xinying Xu |
| collection | DOAJ |
| description | In this paper, a novel data-driven single neuron predictive control strategy is proposed for non-Gaussian networked control systems with metrology delays in the information theory framework. Firstly, survival information potential (SIP), instead of minimum entropy, is used to formulate the performance index to characterize the randomness of the considered systems, which is calculated by oversampling method. Then the minimum values can be computed by optimizing the SIP-based performance index. Finally, the proposed strategy, minimum entropy method and mean square error (MSE) are applied to a networked motor control system, and results demonstrated the effectiveness of the proposed strategy. |
| first_indexed | 2024-04-11T20:48:06Z |
| format | Article |
| id | doaj.art-460267177e844b4fa661f6a0c8668071 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-11T20:48:06Z |
| publishDate | 2018-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-460267177e844b4fa661f6a0c86680712022-12-22T04:03:58ZengMDPI AGEntropy1099-43002018-06-0120749410.3390/e20070494e20070494SIP-Based Single Neuron Stochastic Predictive Control for Non-Gaussian Networked Control Systems with Uncertain Metrology DelaysXinying Xu0Yalan Zhao1Mifeng Ren2Lan Cheng3Mingyue Gong4College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaCollege of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaCollege of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaCollege of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaCollege of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaIn this paper, a novel data-driven single neuron predictive control strategy is proposed for non-Gaussian networked control systems with metrology delays in the information theory framework. Firstly, survival information potential (SIP), instead of minimum entropy, is used to formulate the performance index to characterize the randomness of the considered systems, which is calculated by oversampling method. Then the minimum values can be computed by optimizing the SIP-based performance index. Finally, the proposed strategy, minimum entropy method and mean square error (MSE) are applied to a networked motor control system, and results demonstrated the effectiveness of the proposed strategy.http://www.mdpi.com/1099-4300/20/7/494networked control systemsdata-driven predictive strategynon-Gaussian random delaysnon-Gaussian disturbancessurvival information potential |
| spellingShingle | Xinying Xu Yalan Zhao Mifeng Ren Lan Cheng Mingyue Gong SIP-Based Single Neuron Stochastic Predictive Control for Non-Gaussian Networked Control Systems with Uncertain Metrology Delays Entropy networked control systems data-driven predictive strategy non-Gaussian random delays non-Gaussian disturbances survival information potential |
| title | SIP-Based Single Neuron Stochastic Predictive Control for Non-Gaussian Networked Control Systems with Uncertain Metrology Delays |
| title_full | SIP-Based Single Neuron Stochastic Predictive Control for Non-Gaussian Networked Control Systems with Uncertain Metrology Delays |
| title_fullStr | SIP-Based Single Neuron Stochastic Predictive Control for Non-Gaussian Networked Control Systems with Uncertain Metrology Delays |
| title_full_unstemmed | SIP-Based Single Neuron Stochastic Predictive Control for Non-Gaussian Networked Control Systems with Uncertain Metrology Delays |
| title_short | SIP-Based Single Neuron Stochastic Predictive Control for Non-Gaussian Networked Control Systems with Uncertain Metrology Delays |
| title_sort | sip based single neuron stochastic predictive control for non gaussian networked control systems with uncertain metrology delays |
| topic | networked control systems data-driven predictive strategy non-Gaussian random delays non-Gaussian disturbances survival information potential |
| url | http://www.mdpi.com/1099-4300/20/7/494 |
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