Neural event-triggered optimal filtering co-design of Markovian jump systems with hidden mode detections
文献类型：期刊论文
| 作者 | Ma, Chao2,3; Lu, Yanfeng2 ; Wu, Wei1,2
|
| 刊名 | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
 |
| 出版日期 | 2023-01-24 |
| 页码 | 11 |
| 关键词 | Markovian jump system neural event-triggered scheme optimal filtering unknown nonlinearity hidden mode detections |
| ISSN号 | 0142-3312 |
| DOI | 10.1177/01423312221143269 |
| 通讯作者 | Wu, Wei(wei.wu@ia.ac.cn) |
| 英文摘要 | The modified H-infinity filtering problem for a class of Markovian jump systems with unknown nonlinear dynamics is investigated in the work by developing the neural event-triggered filter co-design method. Moreover, the true system modes are assumed to be inaccessible such that the estimated jumping modes are utilized for the mode-dependent filters. In particular, a novel event-triggered mechanism is introduced to improve filtering communication efficiency, where the unknown nonlinearity approximation is conducted by a neural network. By virtue of employing Lyapunov-Krasovskii method, sufficient filtering conditions are constructed to ensure the optimal H-infinity performance under the mean-square framework, based on which desired mode-dependent filter gains, event-triggering, and neural network parameters are co-designed with an aid of matrix techniques. Illustrative simulations with two practical examples are finally carried out to validate the usefulness and advantages of our developed approach. |
| WOS关键词 | STABILITY ANALYSIS ; NETWORK CONTROL ; TIME ; INEQUALITY ; DELAY |
| 资助项目 | National Natural Science Foundation of China[62173326] ; National Key Research and Development Plan of Chinaunder[2020AAA0105900] ; BeijingNatural Science Foundation[L211023] |
| WOS研究方向 | Automation & Control Systems ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000922953100001 |
| 出版者 | SAGE PUBLICATIONS LTD |
| 资助机构 | National Natural Science Foundation of China ; National Key Research and Development Plan of Chinaunder ; BeijingNatural Science Foundation |
| 源URL | [http://ir.ia.ac.cn/handle/173211/51407]  |
| 专题 | 多模态人工智能系统全国重点实验室 |
| 通讯作者 | Wu, Wei |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 3.Univ Sci & Technol Beijing, Sch Mech Engn, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ma, Chao,Lu, Yanfeng,Wu, Wei. Neural event-triggered optimal filtering co-design of Markovian jump systems with hidden mode detections[J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL,2023:11. |
| APA | Ma, Chao,Lu, Yanfeng,&Wu, Wei.(2023).Neural event-triggered optimal filtering co-design of Markovian jump systems with hidden mode detections.TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL,11. |
| MLA | Ma, Chao,et al."Neural event-triggered optimal filtering co-design of Markovian jump systems with hidden mode detections".TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL (2023):11. |
入库方式： OAI收割
来源：自动化研究所
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