Improved results on generalised robust H ∞ filtering for Lipschitz descriptor non‐linear systems with uncertainties-Reference-Cited by-同舟云学术

Improved results on generalised robust H ∞ filtering for Lipschitz descriptor non‐linear systems with uncertainties

Published:2015-09 Issue:14 Volume:9 Page:2107-2114
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Zhang Wei¹²,Xie Hongyang¹,Su Housheng³⁴,Zhu Fanglai⁵

Affiliation:

1. Laboratory of Intelligent Control and Robotics, Shanghai University of Engineering ScienceShanghai201620People's Republic of China

2. Department of Electrical and Computer EngineeringTexas A & M UniversityCollege StationTX77843USA

3. School of Automation, Image Processing and Intelligent Control Key Laboratory of Education Ministry of China, Huazhong University of Science and TechnologyWuhan430074People's Republic of China

4. Key Laboratory of Education, Ministry of China, Huazhong University of Science and TechnologyWuhan430074People's Republic of China

5. College of Electronics and Information Engineering, Tongji UniversityShanghai200092People's Republic of China

Funder

National Natural Science Foundation of China

Shanghai University of Engineering and Science

Natural Science Foundation of Shanghai

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2014.1168

Reference35 articles.

1. Robust H∞ observer design for sampled-data Lipschitz nonlinear systems with exact and Euler approximate models

2. Dynamical robust H ∞ observer for nonlinear uncertain systems: an LMI approach;Abbaszadeh M.;J. Franklin Inst.,2010

3. [Hamiltonian (script capital H)]∞ filtering for discrete-time affine non-linear descriptor systems

4. Non‐fragile H ∞ fuzzy filtering for discrete‐time non‐linear systems

5. $H_{\bm \infty}$ Fuzzy Filtering of Nonlinear Systems With Intermittent Measurements

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