Robust FDI for a class of nonlinear networked systems with roqs (Q1718470)

Summary: This paper considers the robust fault detection and isolation (FDI) problem for a class of nonlinear networked systems (NSs) with randomly occurring quantisations (ROQs). After vector augmentation, Lyapunov function is introduced to ensure the asymptotically mean-square stability of fault detection system. By transforming the quantisation effects into sector-bounded parameter uncertainties, sufficient conditions ensuring the existence of fault detection filter are proposed, which can reduce the difference between output residuals and fault signals as small as possible under \(H_{\infty}\) framework. Finally, an example linearized from a vehicle system is introduced to show the efficiency of the proposed fault detection filter.