Journal
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
Volume 19, Issue 6, Pages 2150-2162Publisher
INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS
DOI: 10.1007/s12555-020-0137-y
Keywords
Channel fadings; H infinity fault detection; non-fragile; nonlinearity; stochastic communication protocol
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This paper addresses the fault detection problem of a class of randomly occurring nonlinear systems with channel fadings under a stochastic communication protocol. By utilizing techniques such as Lyapunov stability theory and linear matrix inequalities, sufficient conditions for the existence of a fault detection filter are obtained to ensure the stability of error dynamics. The fault detection problem is transformed into an equivalent H-infinity filtering problem to meet performance constraints.
This paper deals with the fault detection problem for a class of randomly occurring nonlinear systems with channel fadings under stochastic communication protocol (SCP). Due to the limited communication capacity, the stochastic communication protocol is adopted to determine when the sensor node is used to transmit data between the sensors and the fault detection filter, the actual measurement signal received by the filter is represented by the L-order Rice fading model. A non-fragile fault detection filter is constructed to generate the residual signal. And in order to analyze the stable of the error dynamics, an auxiliary error system is established. Combining stochastic analysis technique, Lyapunov stability theory, linear matrix inequalities(LMIs) calculation method and H-infinity filtering technique, the fault detection problem is transformed into equivalent H-infinity filtering problem, the sufficient conditions for the existence of fault detection filter are obtained that ensure stochastically stability of the error dynamics with prescribed H-infinity performance constraints. In addition, the filter gains can be calculated by solving the LMI. Finally, a numerical simulation example is given for the effectiveness of the fault detection scheme.
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