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Residual Generator (residual + generator)
Selected AbstractsFault detection of networked control systems with packet based periodic communicationINTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, Issue 8 2009Yongqiang Wang Abstract Fault detection of networked control systems (NCS) with communication constraints is discussed in this paper. A so-called packet-based periodic communication strategy is proposed and two kinds of optimal observer-based residual generators are designed. One residual generator is designed based on the lifted model of NCS, which generates residual signals every communication period. The other works at a faster rate, i.e. it generates residual signals every sampling period and is more suitable for prompt fault detection. Comparison with traditional periodic-communication-sequence-based scheduling strategy reveals superiority of this new communication strategy. Simulation results are also provided to illustrate effectiveness of the proposed method. Copyright © 2008 John Wiley & Sons, Ltd. [source] Robust fault detection and isolation for LPV systems under a sensitivity constraintINTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, Issue 1 2009Saverio Armeni Abstract A novel fault detection and isolation (FDI) filter design method is proposed for linear parameter varying (LPV) systems. The LPV system description can be used to approximate the behavior of nonlinear systems and leads to simple nonlinear FDI designs. The main goal here is to obtain residual generator (RG) filters with enhanced fault transmission dc-gains and large ,, nuisance attenuation. This is achieved using bilinear matrix inequality techniques by exploiting the relevant geometrical properties of the affine LPV description. Finally, it is shown by a nonlinear example that the RG filters designed by the proposed method compare well with alternative approaches including direct nonlinear design methods. Copyright © 2008 John Wiley & Sons, Ltd. [source] Robust multiple-fault detection and isolation: A gradient flow approachINTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, Issue 8 2008Alessandro Casavola Abstract This paper presents a novel solution to the fault detection and isolation observer design problem for linear time-invariant systems. A gradient flow approach is proposed for synthesizing a residual generator under optimal eigenstructure assignment. This is achieved by minimizing the spectral condition number of the observer eigenvector matrix. The properties of convergence of the gradient flow solution are proved and its efficiency demonstrated via a numerical example. Copyright © 2007 John Wiley & Sons, Ltd. [source] A robust fault detection and isolation filter design under sensitivity constraint: An LMI approachINTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, Issue 15 2008Saverio Armeni Abstract This paper deals with the design of a residual generator (RG) for linear time-invariant systems subject to simultaneous different faults, disturbances and measurement noises. The objective is to design an RG filter that maximizes the transmission from a potential fault to a related residual, while minimizing the ones from nuisances (disturbances, measurement noises and other faults). The isolation of each fault is carried out by designing a bank of RG filters, each one insensitive, as much as possible, to nuisances and capable of detecting the occurrence of its related fault. The design is carried out through ,, filtering techniques under an eigenstructure assignment constraint. Under mild assumptions, the RG filter can be obtained by solving a ,-parameterized linear matrix inequality optimization problem. A comparison with existing fault detection and isolation (FDI) methods is considered in order to exhibit the relative merits of the proposed method. Copyright © 2008 John Wiley & Sons, Ltd. [source] | ||||||||||