Distributed Observer-Based Robust Fault Estimation Design for Discrete-Time Interconnected Systems With Disturbances

This article focuses on the distributed robust fault estimation problem for a kind of discrete-time interconnected systems with input and output disturbances. For each subsystem, by letting the fault as a special state, an augmented system is constructed. Particularly, the dimensions of system matrices after augmentation are lower than some existing related results, which may help to reduce calculation amount, especially, for linear matrix inequality-based conditions. Then, a distributed fault estimation observer design scheme that utilizes the associated information among subsystems is presented to not only reconstruct faults, but also suppress disturbances in the sense of robust $H_{\infty}$ optimization. Besides, to improve the fault estimation performance, a common Lyapunov matrix-based multiconstrained design method is first given to solve the observer gain, which is further extended to the different Lyapunov matrices-based multiconstrained calculation method. Thus, the conservatism is reduced. Finally, simulation experiments are shown to verify the validity of our distributed fault estimation scheme.

Automated summary

This article focuses on the distributed robust fault estimation problem for a kind of discrete-time interconnected systems with input and output disturbances. An augmented system is constructed for each subsystem by considering the fault as a special state. A distributed fault estimation observer design scheme that utilizes the associated information among subsystems is presented to reconstruct faults and suppress disturbances. Additionally, a common Lyapunov matrix-based multiconstrained design method is proposed to improve fault estimation performance.