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oai:gredos.usal.es:10366/1667412025-08-26T08:24:47Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134243

00925njm 22002777a 4500 dc Casado-Vara, Roberto author Novais, Paulo author Gil González, Ana Belén author Prieto Tejedor, Javier author Corchado Rodríguez, Juan Manuel author 2019 [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. Casado-Vara, R., Novais, P., Gil, A. B., Prieto, J., & Corchado, J. M. (2019). Distributed Continuous-Time Fault Estimation Control for Multiple Devices in IoT Networks. IEEE Access, 7, 11972-11984. https://doi.org/10.1109/ACCESS.2019.2892905 http://hdl.handle.net/10366/166741 10.1109/ACCESS.2019.2892905 2169-3536 Linear feedback control systems Data handling Algorithm design and analysis Predictive maintenance Nonlinear control systems Fault tolerant systems IoT Distributed Continuous-Time Fault Estimation Control for Multiple Devices in IoT Networks