Brief paper: H∞ filtering for 2D Markovian jump systems
Automatica (Journal of IFAC)
Brief paper: New delay-dependent stability criteria for systems with interval delay
Automatica (Journal of IFAC)
Application research on data segment by robust H∞filter estimation
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Dissipative filtering for linear discrete-time systems via LMI
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Technical communique: Reciprocally convex approach to stability of systems with time-varying delays
Automatica (Journal of IFAC)
A delay-dependent approach to robust H∞ filtering for uncertain discrete-time state-delayed systems
IEEE Transactions on Signal Processing
Adaptive Reliable H∞ Filtering Against Sensor Failures
IEEE Transactions on Signal Processing - Part I
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Model Approximation for Discrete-Time State-Delay Systems in the T–S Fuzzy Framework
IEEE Transactions on Fuzzy Systems
Mixed H∞ and passive filtering for singular systems with time delays
Signal Processing
Hi-index | 0.08 |
This paper is concerned with the problem of robust reliable dissipative filtering for uncertain discrete-time singular system with interval time-varying delay and sensor failures. The uncertainty and the sensor failures considered are polytopic uncertainty and varying in a given interval, respectively. The purpose is to design a filter such that the filtering error singular system is regular, causal, asymptotically stable and strictly (Q,S,R)-dissipative. By utilizing reciprocally convex approach, firstly, sufficient reliable dissipativity analysis condition is established in terms of linear matrix inequalities (LMIs) for singular systems with time-varying delay and sensor failures. Based on this criterion, the result is extended to uncertain singular systems with time-varying delay and sensor failures. Moreover, the reliable dissipative filter is designed in terms of linear matrix inequalities (LMIs) for uncertain singular systems with time-varying delay and sensor failures. Finally, the effectiveness of the filter design method in this paper is illustrated by numerical examples.