Filtering of Markovian Jump Delay Systems Based on a New Performance Index
By Baoyong Zhang, W. Zheng, Shengyuan Xu. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2013
452 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/806bca52c12a1f94989e571bff04509cab8d9406
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In Computer Networks and Communications
- Baoyong Zhang
- Ju H. Park
- Shengyuan Xu
- Zhengguang Wu
- Hao Shen
- Yuming Chu
- Guangming Zhuang
- Yanzheng Zhu
In Control and Systems Engineering
In Electrical and Electronic Engineering
Citations in the corpus
- Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links (2017, background): “Definition 3 [26]: For given real matrices Q1 = QT 1 ≤ 0, Q2, Q3 = QT 3 > 0, and Q4 = QT 4 ≥ 0 satisfying (‖Q1‖+‖Q2‖) · ‖Q4‖ = 0, system (u0004̃) is said to be extended stochastically dissipative, if for any ω(k) ∈ l2[0,∞), the following inequality is satisfied under zero initial condition:”
- Robust H∞ deconvolution filtering for uncertain singular Markovian jump systems with time‐varying delays (2016, methodology): “t/ 6 < 1, which is too restricted [4, 15, 17].”
- Reliable mixed passive and ℋ∞ filtering for semi‐Markov jump systems with randomly occurring uncertainties and sensor failures (2015, background): “It is clear from Table III that the larger values of obtained by Corollary 2 may be allowed than those in [14, 36, 48].”