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Switching PDC control for discrete-time T-S fuzzy system: A membership function ranking approach

*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

In this paper, a new type of switched parallel distributed compensation (PDC) controller is presented, in which a novel switching scheme, namely, membership function ranking (MFR) scheme is proposed. The MFR scheme can be viewed as an improvement and extension of previous results named largest membership function (LMF) scheme concerned with piece-wise quadratic Lyapunov function (PQLF) approach, since it provides a denser subdivision of normalized membership function space and therefore essentially yields less conservative results. Moreover, it shows that MFR scheme covers LMF scheme as a particular case. Based on MFR scheme, a family of ,controllers and a switching scheme is designed to ensure the closed-loop system asymptotically stable and has a required ,performance. A design example is presented to illustrate the advantages of MFR scheme.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 3536-3558 (23 pages)

Journal (Volume, Issue Number)

Journal of the Franklin Institute (Volume 351, Issue 7)

Publication milestones

  • Published - 07/2014

Publication status

Published - 07/2014

ISSN

0016-0032

Publication IDs

  • Scopus: 84902247033

Publication metrics

Metrics

SciVal
FWCI
0.85
SciVal
Author count
3
SciVal
citations
10
SciVal
Paper percentile
67
Scopus
citations
Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1

PlumX, opens in new tab

Captures
6
Citation count
10

Funding Details

This work is supported by the National Natural Science Foundation of China ( 61134001 and 51177137 ).
FunderFunding numbers
NSFC
51177137, 61134001