Networked filtering for Markovian jump T–S fuzzy systems with imperfect premise matching-Reference-Cited by-同舟云学术

Networked filtering for Markovian jump T–S fuzzy systems with imperfect premise matching

Published:2017-05 Issue:3 Volume:11 Page:304-312
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Ma Shaodong¹,Peng Chen¹²,Song Yang¹,Du Dajun¹

Affiliation:

1. Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and AutomationShanghai UniversityShanghai200072People's Republic of China

2. Jiangsu Key Laboratory for 3D Printing Equipment and ManufacturingNanjing Normal UniversityJiangsu210042People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2016.0371

Reference33 articles.

1. Finite‐time stabilisation for Markov jump systems with Gaussian transition probabilities

2. Asynchronous l2–l∞ filtering for discrete-time stochastic Markov jump systems with randomly occurred sensor nonlinearities

3. Robust l 2 – l ∞ filtering for discrete‐time Markovian jump linear systems with multiple sensor faults, uncertain transition probabilities and time‐varying delays

4. New approach to delay‐dependent H ∞ filtering for discrete‐time Markovian jump systems with time‐varying delay and incomplete transition descriptions

5. Energy-to-Peak State Estimation for Markov Jump RNNs With Time-Varying Delays via Nonsynchronous Filter With Nonstationary Mode Transitions

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