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• W2897332947 abstract "Abstract A parameterized network topology based distributed model predictive control (DMPC) framework is proposed in this work, it is mainly applied in system reconfiguration and sensor fault-tolerant control. The Lyapunov stability condition for DMPC with a parameterized network topology is derived. Regarding to system reconfiguration, the parameterized network topology is served as the explicit reconfiguration model. Furthermore, for fault-tolerant control with sensor bias, the parameterized network topology is used to compensate the sensor fault, and a residual generator is designed by states of predictor and consider a time varying threshold for fault detection. The proposed approach is able to handle the system reconfiguration and fault-tolerant control without backup controllers or controllers redesign, and there is no need of the information of fault because of the using of predictor." @default.
• W2897332947 created "2018-10-26" @default.
• W2897332947 creator A5048279362 @default.
• W2897332947 creator A5076810226 @default.
• W2897332947 date "2018-01-01" @default.
• W2897332947 modified "2023-09-24" @default.
• W2897332947 title "System Reconfiguration and Fault-Tolerant for Distributed Model Predictive Control Using Parameterized Network Topology" @default.
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• W2897332947 doi "https://doi.org/10.1016/j.ifacol.2018.09.371" @default.
• W2897332947 hasPublicationYear "2018" @default.
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