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Distributed architectures wherein multiple decision‐making units are employed to coordinate their decision‐making/actions based on real‐time communication have become increasingly important for monitoring processes that have large scales and complex structures. Typically, the development of a distributed monitoring scheme involves two key steps, that is, the decomposition of the process into subsystems,...
We consider distributed fault detection and isolation (FDI) of nonlinear cascade processes based on output feedback. Based on the assumption that an exponentially convergent estimator exists for each subsystem, a distributed state estimation system is first developed. For each subsystem, a state predictor is also designed to provide subsystem state predictions. A residual generator is designed for...
In this work, we develop a data-based monitoring and reconfiguration system for a distributed model predictive control system in the presence of control actuator faults. Specifically, we first design fault detection filters and filter residuals, which are computed via exponentially weighted moving average, to effectively detect faults. Then, we propose a fault isolation approach which uses adaptive...
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