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Integrated design of observer based Fault Detection (FD) for a class of uncertain nonlinear systems with Lipschitz nonlinearities is studied. In the context of norm based residual evaluation, the residual generator and evaluator are designed together in an integrated form, and, based on it, a trade-off FD system is finally achieved in the sense that, for a given Fault Detection Rate (FDR), the False...
In this paper, a new energy based fault detection method for dissipative systems is proposed. Based on the dissipative properties, a so-called system energy balance will be first constructed. Then the fault detection for full states measurable case is carried out by checking the validity of this energy balance. For states unmeasurable case, the fault detection system design is achieved by an optimal...
This report presents fault detection in nonlinear systems with application to nonlinear Three-Tank System Benchmark. A robust fault detection filter based on ℋ∞ performance has been designed. Similarly three kinds of thresholds Jth, RMS, 2, Jth, Peak, Peak, Jth, Peak, 2 are also designed. All the algorithms are successfully tested with the real process. The experimental results given in the end of...
This report presents a solution to the problem of optimal residual generation for discrete time nonlinear systems. Sufficient conditions for a (sub-) optimal Fault Detection Filter are derived which simultaneously produce robustness to disturbances and enhances sensitivity to faults. The results are derived for general class of input affine nonlinear systems and then it is also shown that these results...
Fault detection problem is studied using output estimator design rather than observer design for a class of nonlinear systems with unknown inputs. In order to carry out the output estimator design, an input-output relation is derived from the original state space model, which removes the effect of the unknown inputs on fault detection completely. Based on the input-output relation, a necessary and...
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