Event-triggered robust fault diagnosis and control of linear Roesser systems: A unified framework?

In this paper, the problem of simultaneous robust fault detection and isolation and control in the presence of the stochastic, energy bounded, and peak bounded disturbances for linear Roesser systems through the network with limited resources is investigated. Toward this goal, a novel event-triggered integrated fault detection, isolation and control (IFDIC) framework is proposed where a time concept is considered for linear Roesser systems to define an event-triggered mechanism for data transmission of the output measurement to the IFDIC module and the control input to the plant through the network. Then, the sufficient conditions for the robust event-triggered fault detection and isolation observer, robust event-triggered H?/H2/L1 control are derived using linear matrix inequalities (LMIs). Finally, the effectiveness of the proposed event-triggered IFDIC framework is demonstrated through simulation studies for thermal and gas absorption processes. ? 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license

Automated summary

This paper investigates the problem of simultaneous robust fault detection, isolation, and control for linear Roesser systems through a network with limited resources. A novel event-triggered IFDIC framework is proposed, and sufficient conditions for robust event-triggered fault detection and isolation observer are derived using LMIs. The effectiveness of the proposed framework is demonstrated through simulation studies.