Automatica (Journal of IFAC)
Stability of Kalman filtering with Markovian packet losses
Automatica (Journal of IFAC)
Brief paper: Optimal linear estimation for systems with multiple packet dropouts
Automatica (Journal of IFAC)
Technical communique: H∞ filtering for discrete-time systems with randomly varying sensor delays
Automatica (Journal of IFAC)
Network-Based Robust Filtering for Uncertain Linear Systems
IEEE Transactions on Signal Processing
Decentralized robust set-valued state estimation in networked multiple sensor systems
Computers & Mathematics with Applications
Improved robust energy-to-peak filtering for uncertain linear systems
Signal Processing
Networked H∞ filtering for linear discrete-time systems
Information Sciences: an International Journal
H∞ filtering for networked systems with partly known distribution transmission delays
Information Sciences: an International Journal
Event-based H∞ filtering for networked system with communication delay
Signal Processing
Digital Signal Processing
| Hi-index | 0.08 |
The H"~ filtering problem is studied for a class of network-based systems with random delay in discrete-time domain. A new model is proposed to describe the filtering system with random sensor-filter delay which may be longer than one sampling period. The random delay is modeled as a Markov chain and the resulting filtering error system is a Markovian switched system with random state delay. By using a properly constructed Lyapunov function and the state transform technique, sufficient conditions for the existence of the H"~ filters are presented in terms of linear matrix inequalities. An optimization problem with LMIs constraints is formulated to design the H"~ filter which guarantees that the filtering error system is mean-square exponentially stable with a prescribed decay rate and ensures an optimal H"~ disturbance attenuation level. An illustrative example is given to demonstrate the effectiveness of the proposed results.