✦ LIBER ✦

Adaptive neurofuzzy control of a robotic gripper with on-line machine learning

✍ Scribed by J.A. Domínguez-López; R.I. Damper; R.M. Crowder; C.J. Harris

Publisher: Elsevier Science
Year: 2004
Tongue: English
Weight: 338 KB
Volume: 48
Category: Article
ISSN: 0921-8890
DOI: 10.1016/j.robot.2004.06.001

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A learning architecture based on reinfor

A learning architecture based on reinforcement learning for adaptive control of the walking machine LAURON

✍ Winfried Ilg; Karsten Berns 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 1007 KB

Application of fuzzy on-line self-adapti

Application of fuzzy on-line self-adaptive controller for a contour tracking robot on unknown contours

✍ Pi-Cheng Tung; Shen-nan Fan 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 610 KB

On-line adaptive control of non-linear p

On-line adaptive control of non-linear plants using neural networks with application to liquid level control

✍ G. W. Ng; P. A. Cook 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 218 KB 👁 2 views

In this paper, we present two on-line adaptive control algorithms for non-linear plants using neural networks. The architecture used is based on the concept of specialized learning, which was first proposed by Psaltis et al. and suffers from two main problems, namely lack of knowledge of the plant J