With the increasing demand for higher performance, safety and reliability of dynamic systems, fault diagnosis has received more and more attention. The observer-based strategy is one of the active research fields, which is widely used to construct model-based fault detection systems for technical processes which can be well modelled as linear time invariant systems. Fault diagnosis for nonlinea...

this paper presents a new observer design methodology for a time varying actuator fault estimation. a new linear matrix inequality (lmi) design algorithm is developed to tackle the limitations (e.g. equality constraint and robustness problems) of the well known so called fast adaptive fault estimation observer (fafe). the fafe is capable of estimating a wide range of time-varying actuator fault...

The AI model-based diagnosis community has developed qualitative reasoning mechanisms for fault isolation in dynamic systems. Their emphasis has been on the fault isolation algorithms, and little attention has been paid to robust online detection and symbol generation that are essential components of a complete diagnostic solution. This paper discusses a robust diagnosis methodology for hybrid ...

This paper considers robust fault detection for nonlinear systems with full state information. We propose and solve a multi-objective fault detection criterion by maximizing the smallest singular value of the transformation from faults to fault detection residuals while decoupling/or minimizing the largest singular value of the transformation from disturbance to the fault detection residuals.

This paper describes a new procedure to design robust H∞ controller with time domain specifications and a fault detection method for MIMO system. Controller design parameters and fault detection method are calculated solving multi-objective optimization problems which are based on genetic algorithms. Simulations tests are carried out to evaluate our design procedure, and satisfactory simulation...

This paper addresses the system identification problem, as well its application to robust fault detection, considering parametric uncertainty and using zonotopes. As a result, Zonotopic Recursive Least Squares (ZRLS) estimator is proposed compared with Setmembership (SM) approach when applied taking reference minimum detectable generated in worst-case. To illustrate effectiveness of parameter e...