Dynamic system identification via recurrent multilayer perceptrons

DOI10.1016/S0020-0255(02)00207-4zbMath1010.93027MaRDI QIDQ1857037

Wen Yu, Xiaoou Li

Publication date: 11 February 2003

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

system identificationuniversal approximation theoremrobust learningrecurrent multilayer perceptrons

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) System identification (93B30) Robust stability (93D09)

Related Items

Indirect adaptive control of nonlinear dynamic systems using self recurrent wavelet neural networks via adaptive learning rates ⋮ A novel deniable authentication protocol using generalized ElGamal signature scheme ⋮ Self-adaptive vibration control of simply supported beam under a moving mass using self-recurrent wavelet neural networks via adaptive learning rates ⋮ System identification using multilayer differential neural networks: a new result ⋮ Indirect adaptive control of nonlinear system via dynamic multilayer neural networks with multi‐time scales

Cites Work

• Neural networks for control systems - a survey
• Multilayer dynamic neural networks for non-linear system on-line identification
• Neurons with graded response have collective computational properties like those of two-state neurons.
• Adaptive control of unknown plants using dynamical neural networks
• On the Nature of the Spectrum of Singular Second Order Linear Differential Equations
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Dynamic system identification via recurrent multilayer perceptrons