Distributed Continuous-Time Fault Estimation Control for Multiple Devices in IoT Networks
[EN] This paper investigates distributed continuous-time fault estimation for multiple devices in the Internet-of-Things (IoT) networks by using a hybrid between cooperative control and state prediction techniques. First, a mode-dependent intermediate temperature matrix is designed, which constructs...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad de Salamanca (USAL) |
| Repositorio: | GREDOS. Repositorio Institucional de la Universidad de Salamanca |
| OAI Identifier: | oai:gredos.usal.es:10366/166741 |
| Acceso en línea: | http://hdl.handle.net/10366/166741 |
| Access Level: | acceso abierto |
| Palabra clave: | Linear feedback control systems Data handling Algorithm design and analysis Predictive maintenance Nonlinear control systems Fault tolerant systems IoT |
| Sumario: | [EN] This paper investigates distributed continuous-time fault estimation for multiple devices in the Internet-of-Things (IoT) networks by using a hybrid between cooperative control and state prediction techniques. First, a mode-dependent intermediate temperature matrix is designed, which constructs an intermediate estimator to estimate faulty temperature values obtained by the IoT network. Second, the continuous-time Markov chains transition matrix and output temperatures and the sufficient conditions of stability for auto-correct error of the IoT network temperatures are considered. Moreover, faulty devices are replaced by virtual devices to ensure continuous and robust monitoring of the IoT network, preventing in this way false data collection. Finally, the efficiency of the presented approach is verified with the results obtained in the conducted case study. |
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