✦ LIBER ✦

Design of Delay-Dependent Exponential Estimator for T–S Fuzzy Neural Networks with Mixed Time-Varying Interval Delays Using Hybrid Taguchi-Genetic Algorithm

✍ Scribed by Kuan-Hsuan Tseng, Jason Sheng-Hong Tsai, Chien-Yu Lu

Book ID: 113076958
Publisher: Springer US
Year: 2012
Tongue: English
Weight: 478 KB
Volume: 36
Category: Article
ISSN: 1370-4621
DOI: 10.1007/s11063-012-9222-4

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Delay-dependent robust exponential state

Delay-dependent robust exponential state estimation of Markovian jumping fuzzy Hopfield neural networks with mixed random time-varying delays

✍ P. Balasubramaniam; V. Vembarasan; R. Rakkiyappan 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 585 KB

This paper investigates delay-dependent robust exponential state estimation of Markovian jumping fuzzy neural networks with mixed random time-varying delay. In this paper, the Takagi-Sugeno (T-S) fuzzy model representation is extended to the robust exponential state estimation of Markovian jumping H

Delay-dependent robust asymptotic state

Delay-dependent robust asymptotic state estimation of Takagi–Sugeno fuzzy Hopfield neural networks with mixed interval time-varying delays

✍ P. Balasubramaniam; V. Vembarasan; R. Rakkiyappan 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 423 KB

Design of delay-dependent state estimato

Design of delay-dependent state estimator for discrete-time recurrent neural networks with interval discrete and infinite-distributed time-varying delays

✍ Chin-Wen Liao; Chien-Yu Lu 📂 Article 📅 2010 🏛 Springer Netherlands 🌐 English ⚖ 522 KB