Fault Detection For Multi-agent Systems Research Articles

An [formula omitted] optimization technique to distributed fault detection for multi-agent systems based on event-triggered mechanism

This paper proposes an H∞/H∞ optimization technique to distributed fault detection (FD) for multi-agent systems (MASs). To simultaneously consider the effects of unknown disturbances and faults in the MASs and event-triggered transmission errors (ETTEs) on the residual signal, a residual generator related to the event-triggered threshold coefficient is designed. The generated residuals achieve the best compromise between robustness to unknown disturbances and sensitivity to faults. The obtained results have a better detection performance by using H∞/H∞ optimization technique compared with other optimized schemes. In addition, the applicability of the proposed H∞/H∞ optimized distributed FD scheme is verified by the simulation of a vehicle lateral dynamic system.

Finite-frequency [formula omitted] unknown input observer-based distributed fault detection for multi-agent systems

This paper focuses on fault detection and isolation (FDI) for a network of discrete-time multi-agent systems (MASs) with disturbances, in which a bank of finite-frequency H−/H∞ unknown input observers (UIOs) are constructed. To detect the fault in one agent, the unknown input consisting of faults in the other agents and disturbances in the whole system can be partitioned into two parts, the decoupled part and the non-decoupled part, which avoids the constraint of the strict rank condition of UIO. To make the generated residual sensitive to the corresponding fault while robust against the non-decoupled unknown input, a finite-frequency H−/H∞ UIO is proposed, of which the design conditions are transformed into a set of linear matrix inequalities (LMIs). A numerical simulation is conducted to illustrate the effectiveness of the proposed method.

Reduced order unknown input observer based distributed fault detection for multi-agent systems

This paper is devoted to the problem of distributed fault detection for multi-agent systems. A reduced order unknown input observer based fault detection method is proposed. By constructing reduced order unknown input observers in one agent, the fault in its neighbor can be detected. In the observer design process, only the measurement output of the neighbor agents is used. Two cases are considered. For the case that the observer matching condition is satisfied, the influence of unknown input on residual is removed completely; if this condition is not satisfied, the influence of a part of unknown input is removed, and the influence of the other part is attenuated. Compared with the existing results, the overall dimension of all the observers is decreased greatly. At last, two examples are given to show the effectiveness of the fault detection method.