Information Sciences: an International Journal
Brief paper: H2 and mixed H2/H∞ control of two-dimensional systems in Roesser model
Automatica (Journal of IFAC)
IEEE Transactions on Signal Processing
H∞-filter design for a class of networked control systems via T-S fuzzy-model approach
IEEE Transactions on Fuzzy Systems
Distributed H∞ filtering with consensus in sensor networks: a two-dimensional system-based approach
International Journal of Systems Science - Distributed Estimation and Filtering for Sensor Networks
Sequential covariance intersection fusion Kalman filter
Information Sciences: an International Journal
Robust observers for neutral jumping systems with uncertain information
Information Sciences: an International Journal
Distributed estimation over complex networks
Information Sciences: an International Journal
Sensor Networks With Random Links: Topology Design for Distributed Consensus
IEEE Transactions on Signal Processing - Part II
Robust H/sub /spl infin// filtering for stochastic time-delay systems with missing measurements
IEEE Transactions on Signal Processing
Brief H∞ control and filtering of discrete-time stochastic systems with multiplicative noise
Automatica (Journal of IFAC)
Insensitive reliable H∞ filtering against sensor failures
Information Sciences: an International Journal
Information Sciences: an International Journal
Consensus on compact Riemannian manifolds
Information Sciences: an International Journal
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This paper is concerned with the distributed H"~ filtering problem in sensor networks for discrete-time systems with missing measurements and communication link failures. The sensor measurements are unavailable randomly and the communication link between nodes may be lost. Both of these phenomena occur with known probabilities. The purpose of this problem is to design a filter on each node in the sensor network such that, for all possible measurements missing and communication link failures, the dynamics of filtering error is mean-square stable and the prescribed average H"~ performance constraint is met. This problem is solved by mean of establishing a filter for a constructed two-dimensional (2-D) system in Roesser model. Consensus protocol is introduced into the filter model as local information fusion strategy. In terms of certain linear matrix inequalities (LMIs), sufficient conditions for the solvability of the addressed problem are obtained. Finally, a numerical example is provided to demonstrate the effectiveness and applicability of the proposed design approach.