✦ LIBER ✦

Accommodation to outliers in identification of non linear SISO systems with neural networks

✍ Scribed by Gérard Bloch; Philippe Thomas; Didier Theilliol

Book ID: 113399563
Publisher: Elsevier Science
Year: 1997
Tongue: English
Weight: 928 KB
Volume: 14
Category: Article
ISSN: 0925-2312
DOI: 10.1016/0925-2312(95)00134-4

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

IDENTIFICATION OF RESTORING FORCES IN NO

IDENTIFICATION OF RESTORING FORCES IN NON-LINEAR VIBRATION SYSTEMS BASED ON NEURAL NETWORKS

✍ Y.-C. Liang; C.-G. Zhou; Z.-S. Wang 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 174 KB

NON-LINEAR SYSTEM IDENTIFICATION USING L

NON-LINEAR SYSTEM IDENTIFICATION USING LUMPED PARAMETER MODELS WITH EMBEDDED FEEDFORWARD NEURAL NETWORKS

✍ YIMIN FAN; C. JAMES LI 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 320 KB

This paper describes a new methodology to identify multi-degree-of-freedom non-linear systems from the system's operating data. The methodology includes a new non-linear model architecture which embeds feedforward neural networks to represent unknown nonlinearities in a lumped parameter model, and a

Identification and control of class of n

Identification and control of class of non-linear systems with non-symmetric deadzone using recurrent neural networks

✍ Pérez-Cruz, José Humberto (author);Chairez, Isaac (author);De Jesús Rubio, Jose 📂 Article 📅 2014 🏛 The Institution of Engineering and Technology 🌐 English ⚖ 622 KB

Identification and control of class of n

Identification and control of class of non-linear systems with non-symmetric deadzone using recurrent neural networks

✍ Pérez-Cruz, José Humberto (author);Chairez, Isaac (author);De Jesús Rubio, Jose 📂 Article 📅 2014 🏛 The Institution of Engineering and Technology 🌐 English ⚖ 622 KB

State feedback linearisation-based neura

State feedback linearisation-based neural network adaptive controller for a class of uncertain SISO non-linear systems

✍ Chemachema, M.; Belarbi, K. 📂 Article 📅 2010 🏛 Inderscience Publishers 🌐 English ⚖ 246 KB

IDENTIFICATION OF RESTORING FORCES IN NO

IDENTIFICATION OF RESTORING FORCES IN NON-LINEAR VIBRATION SYSTEMS USING FUZZY ADAPTIVE NEURAL NETWORKS

✍ Y.C. LIANG; D.P. FENG; J.E. COOPER 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 260 KB

The fuzzy adaptive back-propagation (FABP) algorithm which combines fuzzy theory with arti"cial neural network techniques is applied to the identi"cation of restoring forces in non-linear vibration systems. Simulated results show that the FABP algorithm is e!ective for the identi"cation of dynamic s