Abstract
In this paper, a general event-triggered framework is constructed to investigate the problem of remote fault detection for stochastic cyber-physical systems subject to the additive disturbances, sensor nonlinearities and deception attacks. Both fault-detection residual generation and evaluation module are fully described. Two energy norm indices are presented so that the fault-detection residual has the best sensitivity to faults and the best robustness to unwanted factors including additive disturbances and false information injected by attacker. Moreover, the filter gain and residual weighting matrix are formulated in terms of stochastic Lyapunov function, which can be conveniently solved via standard numerical software. Finally, an application example is presented to verify the performance of fault detection by comparative simulations. The prolonged battery life is experimentally evaluated and analyzed via a wireless node platform.
Highlights
Cyber-Physical Systems (CPSs) refer to the integration of sensing, control, communication, computation and physical processes [1]
It follows from the existing literature that the problem of event-triggered fault detection for CPSs subject to deception attacks is of significant importance
A new event-triggered fault-detection filter for CPSs is proposed against the phenomena of sensor nonlinearities, deception attacks and additive disturbances, where the sensor nonlinearities is assumed to occur randomly according to a random variable satisfying the Bernoulli distribution
Summary
Cyber-Physical Systems (CPSs) refer to the integration of sensing, control, communication, computation and physical processes [1] These tightly integrated systems extend existing networked systems (such as networked control systems (NCSs) [2] and wireless sensor networks (WSNs) [3]). Applications of CPSs are promising in areas including smart grid [4], autonomous automobile systems [5], medical monitoring and process control systems [6] Their reliability and stability, are very susceptible to operational and environmental conditions [7]. Resources can be used only when require and saved otherwise Another issue which should be considered is related to deception attacks in data transmission. Before addressing the main contribution of this paper, we briefly review some related literature
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