NDLI: Generalized H2 filter design for T-S fuzzy systems with quantization and packet loss

Content Provider	IEEE Xplore Digital Library
Author	Changzhu Zhang Gang Feng Jianbin Qiu
Copyright Year	2011
Description	Author affiliation: Dept. of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong (Changzhu Zhang; Gang Feng) \|\| Space Control and Inertial, Technology Research Center, Harbin Institute of Technology, China (Jianbin Qiu)
Abstract	In this paper, the problem of generalized H2 filtering is concerned for a class of discrete-time T-S fuzzy systems with measurement quantization and packet loss. The quantized measurements are transmitted to the filter via an imperfect communication channel, where the phenomenon of packet loss can be encountered. A random binary process is utilized to describe the packet dropouts, while the quantization errors are treated as sector bound uncertainties. Attention is focused on the design of generalized H2 piecewise filter such that the filtering error system is stochastically stable and preserves a guaranteed generalized H2 performance. The developed filter gains can be obtained by solving a set of linear matrix inequalities. Finally, an illustrative example is provided to show the effectiveness of the proposed method.
Starting Page	52
Ending Page	59
File Size	204758
Page Count	8
File Format	PDF
ISBN	9781424499021
e-ISBN	9781424499038
DOI	10.1109/CICA.2011.5945766
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-11
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Symmetric matrices Communication channels Quantization Loss measurement Linear matrix inequalities State estimation Fuzzy systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

An LMI approach to fuzzy H∞ filter design for nonlinear systems

State estimation for T-S fuzzy affine systems with variable quantization density

Anti-windup compensator design for T-S fuzzy systems with delayed state and saturating input

Robust H2 filter design for bilinear systems using T-S fuzzy approach

Observer design for a discrete-time T-S fuzzy system with uncertainties

Robust stabilization for T-S Fuzzy control systems with parametric uncertainties via LMI approach

$H_{infty }$ Filtering For Nonlinear Discrete-Time Systems Subject to Quantization and Packet Dropouts

Quantized H∞ static output feedback control for networked control systems with random communication packet losses

H∞ filter design for nonlinear systems with time-delay through T-S fuzzy model approach

Generalized H2 filter design for T-S fuzzy systems with quantization and packet loss

Similar Documents

An LMI approach to fuzzy H∞ filter design for nonlinear systems

State estimation for T-S fuzzy affine systems with variable quantization density

Anti-windup compensator design for T-S fuzzy systems with delayed state and saturating input

Robust H2 filter design for bilinear systems using T-S fuzzy approach

Observer design for a discrete-time T-S fuzzy system with uncertainties

Robust stabilization for T-S Fuzzy control systems with parametric uncertainties via LMI approach

$H_{infty }$ Filtering For Nonlinear Discrete-Time Systems Subject to Quantization and Packet Dropouts

Quantized H∞ static output feedback control for networked control systems with random communication packet losses

H∞ filter design for nonlinear systems with time-delay through T-S fuzzy model approach

Generalized H2 filter design for T-S fuzzy systems with quantization and packet loss