Robust model-based fault diagnosis for dynamic systems
Robust model-based fault diagnosis for dynamic systems
Robust Estimation and Failure Detection: A Concise Treatment
Robust Estimation and Failure Detection: A Concise Treatment
On-board Component Fault Detection and Isolation Using the Statistical Local Approach
Automatica (Journal of IFAC)
Brief An LMI approach to design robust fault detection filter for uncertain LTI systems
Automatica (Journal of IFAC)
Brief Robust fault detection in uncertain dynamic systems
Automatica (Journal of IFAC)
Brief Off-line robust fault diagnosis using the generalized structured singular value
Automatica (Journal of IFAC)
A mixed H2/H∞ approach to simultaneous fault detection and control
Automatica (Journal of IFAC)
Brief paper: A risk adjusted approach to robust simultaneous fault detection and isolation
Automatica (Journal of IFAC)
A method for designing fault diagnosis filters for LPV polytopic systems
Journal of Control Science and Engineering - Robustness Issues in Fault Diagnosis and Fault Tolerant Control
On fault detection in linear discrete-time, periodic, and sampled-data systems
Journal of Control Science and Engineering - Robustness Issues in Fault Diagnosis and Fault Tolerant Control
Brief paper: An integrated trade-off design of observer based fault detection systems
Automatica (Journal of IFAC)
Fault estimations for linear systems with polytopic uncertainties
International Journal of Systems, Control and Communications
Zero assignment for robust H2/H∞ fault detection filter design
IEEE Transactions on Signal Processing
Fault estimation for discrete-time delay systems in finite frequency domain
ACC'09 Proceedings of the 2009 conference on American Control Conference
Integrated Design of Observer Based Fault Detection for a Class of Uncertain Nonlinear Systems
International Journal of Applied Mathematics and Computer Science - Issues in Advanced Control and Diagnosis
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In this paper, a general approach is presented to design robust fault detection and isolation (FDI) filters for LTI uncertain systems under feedback control. A two-step design procedure is proposed to derive non-conservative robust FDI filters. The first step consists of designing an optimal FDI filter that maximizes fault sensitivity performance and simultaneously minimizes the influence of unknown inputs, for a large class of model perturbations. The design problem is formulated so that all free parameters are optimized via Linear Matrix Inequality techniques. The second step consists of a systematic post-design analysis procedure. A test is proposed to check if all FDI objectives are achieved for all specified model perturbations. The problem is formulated using an appropriate performance index over a specified frequency range. The solution is based on the generalized structured singular value. Finally, experimental results from a pilot laboratory system are presented to demonstrate the effectiveness of the proposed method.