Hybrid-triggered fault detection filter design for networked Takagi-Sugeno fuzzy systems subject to persistent heavy noise disturbance

摘要

In the network environment, the single time-triggered scheme wastes limited bandwidth resources due to all the sampled data are transmitted to the networks, and the single event-triggered scheme may increase system error because of ignoring factors such as changes in network utilization. To reduce the design conservatism, this paper is concerned with the hybrid-triggered L-1 fault detection filter design for a class of nonlinear networked control systems (NCSs) described by Takagi-Sugeno (T-S) fuzzy model. Taking the effects of time-triggered scheme and event-triggered scheme into consideration simultaneously, we construct a fuzzy fault detection system. New results on stability and L-1 performance are proposed for fuzzy fault detection system by exploiting the Lyapunov-Krasovskii functional and by means of the integral inequality method. Specially, attention is focused on the design of fault detection filter that guarantees a prescribed L-1 noise attenuation level gamma. Finally, two examples are presented to demonstrate the effectiveness of the proposed method.