Robust minimum variance filtering
IEEE Transactions on Signal Processing
Optimal linear filtering under parameter uncertainty
IEEE Transactions on Signal Processing
An LMI approach to discrete-time observer design with stochastic resilience
Journal of Computational and Applied Mathematics
Brief paper: Non-fragile H∞ filter design for linear continuous-time systems
Automatica (Journal of IFAC)
A reinforced iterative formalism to learn from human errors and uncertainty
Engineering Applications of Artificial Intelligence
An LMI approach to discrete-time observer design with stochastic resilience
Journal of Computational and Applied Mathematics
Delay-dependent non-fragile H∞ control for fuzzy descriptor time-delay systems
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
Non-fragile H2 and H∞ filter designs for polytopic two-dimensional systems in Roesser model
Multidimensional Systems and Signal Processing
Automatica (Journal of IFAC)
Filtering-based robust fault detection of fuzzy jump systems
Fuzzy Sets and Systems
A robust H? filtering approach for singular systems
International Journal of Systems, Control and Communications
| Hi-index | 22.15 |
The problem of resilient linear filtering for a class of linear continuous-time systems with norm-bounded uncertainties is investigated. We have considered additive filter gain variations to reflect the imprecision in filter implementation. The design problem of resilient linear filter is formulated as a convex optimization problem over linear matrix inequalities. As a limiting procedure, the case of resilient Kalman filter is derived. All the developed results are conveniently extended to the case of multiplicative filter gain variations. Simulation studies are carried out to support the theoretical findings.