✦ LIBER ✦

A novel approach based on recurrent neural networks applied to nonlinear systems optimization

✍ Scribed by Ivan Nunes da Silva; Wagner Caradori do Amaral; Lucia Valeria de Arruda

Book ID: 108056834
Publisher: Elsevier Science
Year: 2007
Tongue: English
Weight: 296 KB
Volume: 31
Category: Article
ISSN: 0307-904X
DOI: 10.1016/j.apm.2005.08.007

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A batch-to-batch iterative optimal contr

A batch-to-batch iterative optimal control strategy based on recurrent neural network models

✍ Zhihua Xiong; Jie Zhang 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 382 KB

Optimizing fracture design based on a no

Optimizing fracture design based on a novel RBF neural network

✍ Hong Liu; Zhen Huang; Hong-yi Gao; Qing-heng Zeng 📂 Article 📅 2011 🏛 Informa UK (Taylor & Francis) 🌐 English ⚖ 118 KB

A novel recurrent neural network-based p

A novel recurrent neural network-based prediction system for option trading and hedging

✍ C. Quek; M. Pasquier; N. Kumar 📂 Article 📅 2007 🏛 Springer US 🌐 English ⚖ 626 KB

Further result on a dynamic recurrent ne

Further result on a dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems

✍ S.N. Huang; K.K. Tan; T.H. Lee 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 110 KB

Recurrent neural network model based on

Recurrent neural network model based on projective operator and its application to optimization problems

✍ Ru-ning Ma; Tian-ping Chen 📂 Article 📅 2006 🏛 Springer 🌐 English ⚖ 281 KB

A nonlinear sliding mode control design

A nonlinear sliding mode control design approach based on neural network modelling

✍ A. I. Bhatti; S. K. Spurgeon; X. Y. Lu 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 255 KB 👁 2 views

A complete nonlinear framework for the modelling and robust control of nonlinear systems is proposed. The use of neural networks for continuous time modelling to obtain a certain nonlinear canonical form is investigated. The model obtained is used with recently proposed dynamic sliding mode controll