Robust Fusion Filtering for Multisensor Time-Varying Uncertain Systems: The Finite Horizon Case
The robust H∞ fusion filtering problem is considered for linear time-varying uncertain systems observed by multiple sensors. A performance index function for this problem is defined as an indefinite quadratic inequality which is solved by the projection method in Krein space. On this basis, a robust...
Saved in:
Main Authors: | Xiaoliang Feng, Funa Zhou, Chenglin Wen |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2016-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2016/2720549 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sequential Fault-Tolerant Fusion Estimation for Multisensor Time-Varying Systems
by: Xiaoliang Feng, et al.
Published: (2018-01-01) -
Finite-Horizon Robust Kalman Filter for Uncertain Attitude Estimation System with Star Sensor Measurement Delays
by: Hua-Ming Qian, et al.
Published: (2014-01-01) -
Finite-Time Robust Stability of Uncertain Genetic Regulatory Networks with Time-Varying Delays and Reaction-Diffusion Terms
by: Wenqin Wang, et al.
Published: (2019-01-01) -
Robust H∞ Filtering for Uncertain Discrete-Time Fuzzy Stochastic Systems with Sensor Nonlinearities and Time-Varying Delay
by: Mingang Hua, et al.
Published: (2012-01-01) -
A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks
by: Wangyan Li, et al.
Published: (2015-01-01)