Abstract
A robust fault detection scheme is developed for networked control systems (NCSs) with limited quality of services (QoS), such as network-induced time delay, data dropout, and error sequence. An augmented Markov jump systems (MJSs) model is constructed, based on which a robust fault detection filter is designed. Such a design solved by using Ricatti inequality can guarantee that the error dynamic system is stochastic stable and the residual is sensitive to the fault. A numerical example and an aircraft application simulation study are provided to verify the effectiveness of the proposed method.
Highlights
Networked control systems are distributed systems, in which control and measurement signals are transmitted over data communication network
The network-induced delay was modeled as a Markov jump system, and the stability analysis and design of the fault detection filter were studied based on Ricatti equality in [20]
To achieve a good robustness to the disturbance and a good sensitivity to the fault, we design fault diagnosis (FD) with limited quality of services (QoS) by making use of Ricatti inequalities to guarantee that the error dynamics is mean square stable and the residual is sensitive to the fault
Summary
Networked control systems are distributed systems, in which control and measurement signals are transmitted over data communication network. Wen: Robust Fault Detection Filter Design of NCSs was discussed in [18], [19], in which the MJSs model was proposed. The network-induced delay was modeled as a Markov jump system, and the stability analysis and design of the fault detection filter were studied based on Ricatti equality in [20]. A robust fault detection filter is designed based on an augmented MJSs model of NCSs (sensors are clockdriven, the controller and the actuators are event-driven). Such FD can deal with network-induced time delay, data dropout, and error sequence.
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