Brief paper: An LMI approach to H- index and mixed H-/H∞ fault detection observer design
Automatica (Journal of IFAC)
Brief paper: Robust filtering with stochastic nonlinearities and multiple missing measurements
Automatica (Journal of IFAC)
Optimal fault-detection filtering for non-Gaussian systems via output PDFs
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
ACC'09 Proceedings of the 2009 conference on American Control Conference
Robust output feedback controller design for uncertain delayed systems with sensor failure
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
An LMI approach to minimum sensitivity analysis with application to fault detection
Automatica (Journal of IFAC)
Insensitive reliable H∞ filtering against sensor failures
Information Sciences: an International Journal
Hi-index | 35.69 |
This paper presents a solution to a reliable filtering problem with error variance specifications for both continuous- and discrete-time systems. The filtering error variance in the sensor failure cases is guaranteed to be less than a given upper bound while the performance in the nominal case is optimized. A convergent iterative algorithm based on linear matrix inequality (LMI) is given to obtain the solution. The algorithm solves the problem without introducing additional conservativeness, and it is shown to get better performance and be less conservative compared with traditional LMI approaches. A numerical example is given to show the advantages of our approach over existing techniques.