Optimal Kalman Filtering for a Class of State Delay Systems with Randomly Multiple Sensor Delays
The optimal Kalman filtering problem is investigated for a class of discrete state delay stochastic systems with randomly multiple sensor delays. The phenomenon of measurement delay occurs in a random way and the delay rate for each sensor is described by a Bernoulli distributed random variable with...
Saved in:
| Main Authors: | Dongyan Chen, Long Xu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/716716 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Delay-Dependent H∞ Filtering for Singular Time-Delay Systems
by: Zhenbo Li, et al.
Published: (2011-01-01) -
Improving Treatment of Noise Specification of Kalman Filtering for State Updating of Hydrological Models: Combining the Strengths of the Interacting Multiple Model Method and Cubature Kalman Filter
by: Y. Sun, et al.
Published: (2023-07-01) -
Error-State Kalman Filtering with Linearized State Constraints
by: Hoang Viet Do, et al.
Published: (2025-03-01) -
KalmanFormer: using transformer to model the Kalman Gain in Kalman Filters
by: Siyuan Shen, et al.
Published: (2025-01-01) -
STABILITY ANALYSIS AND PERFORMANCE OF KALMAN FILTERING AND ROBUST KALMAN FILTERING ON UNCERTAIN CONTINUOUS-TIME SYSTEMS
by: Budi Rudianto, et al.
Published: (2025-04-01)