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

✍ Scribed by Y.C. LIANG; D.P. FENG; J.E. COOPER

• Publisher: Elsevier Science
• Year: 2001
• Tongue: English
• Weight: 260 KB
• Volume: 242
• Category: Article
• ISSN: 0022-460X
• DOI: 10.1006/jsvi.2000.3348

✦ Synopsis

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 systems. The FABP algorithm not only increases the training speed of the network, but also decreases the arti"cial interference of network parameters to a certain extent. Based upon the FABP algorithm, an improved scheme with a mutation mechanism is presented in this paper. The improved fuzzy adaptive BP (IFABP) algorithm extends the e!ectiveness and adaptivity of the FABP algorithm still further. The successful estimation of simulated systems show that a feasible method of identi"cation is provided, which can be used to estimate the restoring forces in non-linear vibrating systems quickly and e!ectively.