Title :
A Novel Asymptotical Stability Criterion for Fuzzy Neutral Systems
Author :
Yang, Jun ; Zhong, Shou-ming ; Luo, Wen-pin ; Yao, De-Zhong
Author_Institution :
Coll. of Appl. Math., Univ. of Electron. Sci. & Technol. ofChina, Chengdu
Abstract :
In this paper, the asymptotical stability criterion for the fuzzy neutral systems is investigated. By means of the Lyapunov-Krasovskii functional, Barbalat lemma, Sala- Arino lemma, the descriptor model transformation and LMI approach, a novelty less conservative sufficient condition (in terms of LMIs) for asymptotical stability of the fuzzy neutral systems is deduced. Finally, an illustrative numerical example is provided to demonstrate the effectiveness of the proposed criterion.
Keywords :
Lyapunov methods; asymptotic stability; fuzzy systems; linear matrix inequalities; LMI; Lyapunov-Krasovskii functional; asymptotical stability criterion; fuzzy neutral systems; linear matrix inequalities; Asymptotic stability; Educational institutions; Fuzzy control; Fuzzy sets; Fuzzy systems; Linear matrix inequalities; Mathematics; Stability criteria; Sufficient conditions; Symmetric matrices; Barbalat lemma; Descriptor system; Fuzzy systems; Linear matrix inequalities (LMIs); Lyapunov-Krasovskii functional (LKF); Neutral systems; Sala-Ariño lemma;
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3427-5
Electronic_ISBN :
978-1-4244-3426-8
DOI :
10.1109/ICACIA.2008.4769959
