In this study, the distributed fault detection and isolationproblem for a class of second-order discrete-time multiagent systems (MASs) is studied by using an optimal robust observer approach. The work is based on an...
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In this study, the distributed fault detection and isolationproblem for a class of second-order discrete-time multiagent systems (MASs) is studied by using an optimal robust observer approach. The work is based on an MAS with a mean square bounded consensus protocol. The authors prove that for this kind of system, a bank of optimal robust observers can be constructed for a certain agent to detect and isolate the possible faults of its neighbour agents. The main result of this study is to bring forward an existence condition for these observers, which is closely related to the topology structure of the MAS. For the detection of the faults injected in position states, they show that only the position information of the MAS is needed, but for the case of detecting faults in velocity states, both position and velocity measurements are needed. Simulation results are presented to illustrate the effectiveness of the results proposed in this study.
The design problem of fault detection and isolation filters can be formulated as a model matching problem and solved using an H-2-norm minimization approach. A systematic procedure is proposed to choose appropriate fi...
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ISBN:
(纸本)9781424481545
The design problem of fault detection and isolation filters can be formulated as a model matching problem and solved using an H-2-norm minimization approach. A systematic procedure is proposed to choose appropriate filter specifications which guarantee the existence of proper and stable solutions of the model matching problem. This selection is integral part of a numerically reliable computational method to design of H-2-optimal fault detection filters. The proposed design approach is completely general, being applicable to both continuous and discrete-time systems, and can easily handle even unstable and/or improper systems.
This paper deals with the problem of fault detection and isolation for nonlinear Hessenberg systems. In particular, the first part of the FDI problem associated with the disturbance decoupling transformation is consid...
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This paper deals with the problem of fault detection and isolation for nonlinear Hessenberg systems. In particular, the first part of the FDI problem associated with the disturbance decoupling transformation is considered. The approach is based on a relation between the relative degree from the unknown input to the output variables for nonlinear Hessenberg systems. The major advantage for this class of systems is that a decoupled system can be obtained analytical without solving partial difference equations. Moreover this transformation can be used to define the structure of a reduced observer for the system where different observer design procedures can be used, since the subspace is uniform observable.
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