Work

Reduced‐Order Observer‐Based Fault Estimation for Stochastic Multi‐Agent Systems With Multiple Nonlinear Exogenous Disturbances

Year: 2026

Type: article

Abstract: ABSTRACT In this paper, the fault estimation problem for multi‐agent systems with multiple nonlinear exogenous disturbances and stochastic noise is studied. Taking the centralized and distributed output feedback into account, the estimations of system states, actuator and sensor faults, and disturbances are achieved by constructing the reduced‐order observers and disturbance observers. In the steps of constructing the observers, intermediate variables are introduced to avoid utilizing the derivative information. Compared with the existing results, the observer dimension is reduced. The introduction of Schur decomposition reduces the computational complexity. In the end, the simulation examples verify the effectiveness of the method.

Source: Asian Journal of Control

DOI: 10.1002/asjc.70282

Authors: Jian Han, Ye Zhu, Xiuhua Liu, Lewei Dong, Mengjia Zhang

Institution: Ludong University

Language: English

Topic: Fault Detection and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funders: National Natural Science Foundation of China, Natural Science Foundation of Shandong Province

Awards: G3336700741, G4049405160, G4642503196, G5095404526, G6370934407