2019
DOI: 10.1016/j.jfranklin.2019.01.009
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A co-design methodology for cyber-physical systems under actuator fault and cyber attack

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Cited by 20 publications
(8 citation statements)
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“…In addition, we can use LMI toolbox to obtain feasible solution in Eq. 11- (14). The parameters L j and F j to be obtained by…”
Section: Design Of Robust H ∞ State and Fault Estimation Observementioning
confidence: 99%
See 1 more Smart Citation
“…In addition, we can use LMI toolbox to obtain feasible solution in Eq. 11- (14). The parameters L j and F j to be obtained by…”
Section: Design Of Robust H ∞ State and Fault Estimation Observementioning
confidence: 99%
“…While the CPS is a community of the physical system and the cyber system, both are indispensable. As a result, only considering the dual security defence system of fault tolerance in the physical system and attack tolerance in the cyber system can the CPS security be ensured [14], [15]. In addition, most of the plants are nonlinear in practical engineering.…”
mentioning
confidence: 99%
“…In this paper, the main concern is to develop an accurate actuator fault detection scheme and a corresponding actuator fault estimation strategy with respect to the cyber-physical systems. Therefore, based on the signal transmit structure proposed in [16], the states of the physical layer and the cyber layer are known to each other for simplicity.…”
Section: Problem Formulationmentioning
confidence: 99%
“…In order to address concerns related to control components, resilient control designs based on state estimates have been proposed for detecting and preventing attacks in works such as Ding et al (2020) and Cárdenas et al (2011), wherein the latter cyberattack-resilient control frameworks compare state estimates based on models of the physical process and state measurements to detect cyberattacks. Ye and Luo (2019) address a scenario where actuator faults and cyberattacks on sensors or actuators occur simultaneously by using a control policy based on the Lyapunov theory and adaptation and Nussbaum-type functions.…”
Section: Introductionmentioning
confidence: 99%