Unknown input proportional multiple-integral observer design for linear descriptor systems: application to state and fault estimation

Design of proportional-integral observer for unknown input descriptor systems

This note presents simple methods to design fulland reducedorder proportional integral observer for unknown inputs (UI) descriptor systems. Sufficient conditions for the existence of the observer are given and proven. The observer is solvable by any pole placement algorithm, it achieves a posteriori robustness state and UI estimation versus to time varying parameters and bounded nonlinear UI. A...

Sensor fault and unknown input estimation based on proportional integral observer applied to LPV descriptor systems

Fault Tolerant in Descriptor Linear Systems via Generalized Proportional-Integral Regulator/Observer

condition 1131. This condition is exoressed in terms of definite LMI with no equality constraint, which is much more tractable and reliable in numerical computation than the existing conditions, that is, definite LMI with equality constraints or semidefinite, LMI. Finally an example with periodic U1 nonlinearities is included and shows that the faults (or UI) can he estimated and compensated wh...

Fault Detection in Linear Descriptor Systems Via Unknown Input PI Observer

Fault Detection in Linear Descriptor Systems Via Unknown Input PI Observer Hwan Seong Kim, Tae Kyeong Yeu, and Shigeyasu Kawaji Abstract: This paper deals with a fault detection algorithm for linear descriptor systems via unknown input PI observer. An unknown input PI observer is presented and its realization conditions is proposed by using the rank condition of system matrices. From the charac...

Generalized set-theoretic unknown input observer for LPV systems with application to state estimation and robust fault detection

1Center of Intelligent Control and Telescience, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China 2Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Technical University of Catalonia (UPC), Barcelona, Spain 3Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China 4Intelligent Computing Lab, Graduate School at Shenzhen, Tsi...