✦ LIBER ✦

Application of neural networks for direct torque control

✍ Scribed by A.L. Orille; G.M.A. Sowilam

Publisher: Elsevier Science
Year: 1999
Tongue: English
Weight: 288 KB
Volume: 37
Category: Article
ISSN: 0360-8352
DOI: 10.1016/s0360-8352(99)00101-1

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Application of neural networks to fuzzy

Application of neural networks to fuzzy control

✍ Faouzi Bouslama; Akira Ichikawa 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 510 KB

This paper gives a possible application of neural networks to fuzzy control. In fuzzy control a set of linguistic rules are given and by specifying a method or fuzzy reasoning and defit--ification an input-output relation is obtained. Fuzz), controllers thus obtained are usuallj, irregTdar, and are

Direct neural network application for au

Direct neural network application for automated cell recognition

✍ Qing Zheng; Bruce K. Milthorpe; Allan S. Jones 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 923 KB

## Background: Automated cell recognition from histologic images is a very complex task. traditionally, the image is segmented by some methods chosen to suit the image type, the objects are measured, and then a classifier is used to determine cell type from the object's measurements. different clas

Direct torque control of synchronous mot

Direct torque control of synchronous motor drives for dynamically demanding applications

✍ J. Pyrhönen; O. Pyrhönen; M. Niemelä; J. Luukko; J. Kaukonen; P. Pohjalainen 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 845 KB

Application of neural networks to meltbl

Application of neural networks to meltblown process control

✍ Qin Sun; Dong Zhang; Bingzhen Chen; Larry C. Wadsworth 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 480 KB 👁 2 views

Process modeling is essential for the control of optimization and an on-line prediction is very useful for process monitoring and quality control. Up to now, no satisfactory methods have been found to model an industrial meltblown process since it is of highly dimensional and nonlinear complexity. I

Application of neural networks to chemic

Application of neural networks to chemical process control

✍ Nazario D. Ramirez-Beltran; Henry Jackson 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 256 KB

Direct adaptive regulation using dynamic

Direct adaptive regulation using dynamic neural networks: Application to dc motors speed control

✍ G.A. Rovithakis; M.A. Christodoulou 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 432 KB

A direct nonlinear adaptive state regulator is derived, based on dynamic neural networks, and it is successfully applied to control the speed of a nonlinearized dc motor, One interesting feature of the proposed control algorithm is that it covers the situation where the magnetic flux continuously va