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This article deals with unknown deception attacks detection of hydroelectric generator. Such cyber attacks are switching disturbances that affect the input information transmitted from the power system stabilizer to the plant through a constrained communication network. The generator dynamics can be modeled as an augmented state model, whereas the unknown input reconstruction is obtained from a modified Kalman filter recursions under communication constraints. The obtained design ensures the minimization of disturbances with accurate cyberattack monitoring.

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This paper considers the problem of attitude sensor fault diagnosis in a quadrotor helicopter. The proposed approach is composed of two stages. The first one is the modelling of the system attitude dynamics taking into account the induced communication constraints. Then a robust fault detection and evaluation scheme is proposed using a post-filter designed under a particular design objective. This approach is compared with previous results based on the standard Kalman filter and gives better results for sensor fault diagnosis.

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This paper addresses the problem of multiple fault detection and isolation under communication constraints. More specifically, we consider the issue of sensor scheduling and fault isolation co-design under limited bandwidth capacity. The proposed isolation filter can be viewed as special structure of the traditional Kalman filter. The sensor scheduling sequence and the proposed filter are built in order to ensure the fault isolability property and noise effect minimization.