English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The aim of this study is to investigate less conservative conditions forparameterized linear matrix inequalities (PLMIs) that are formulated as nestedfuzzy summations. Such PLMIs are commonly encountered in stability analysis andcontrol design problems for Takagi-Sugeno (T-S) fuzzy systems. Utilizing theweighted inequality of arithmetic and geometric means (AM-GM inequality), wedevelop new, less conservative linear matrix inequalities for the PLMIs. Thismethodology enables us to efficiently handle the product of membershipfunctions that have intersecting indices. Through empirical case studies, wedemonstrate that our proposed conditions produce less conservative resultscompared to existing approaches in the literature.

Relaxed Conditions for Parameterized Linear Matrix Inequality in the Form of Nested Fuzzy Summations