✦ LIBER ✦

Adaptive neural control using reinforcement learning for a class of robot manipulator

✍ Scribed by Li Tang, Yan-Jun Liu, Shaocheng Tong

Book ID: 120913461
Publisher: Springer-Verlag
Year: 2013
Tongue: English
Weight: 394 KB
Volume: 25
Category: Article
ISSN: 0941-0643
DOI: 10.1007/s00521-013-1455-2

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A global adaptive learning control for r

A global adaptive learning control for robotic manipulators

✍ Stefano Liuzzo; Patrizio Tomei 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 555 KB

A reinforcement learning adaptive fuzzy

A reinforcement learning adaptive fuzzy controller for robots

✍ Chuan-Kai Lin 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 233 KB

In this paper, a new reinforcement learning scheme is developed for a class of serial-link robot arms. Traditional reinforcement learning is the problem faced by an agent that must learn behavior through trial-and-error interactions with a dynamic environment. In the proposed reinforcement learning

Adaptive control of robot manipulators u

Adaptive control of robot manipulators using fuzzy neural networks

✍ Yang Gao; Meng Joo Er; Song Yang 📂 Article 📅 2001 🏛 IEEE 🌐 English ⚖ 174 KB

A reinforcement learning neural network

A reinforcement learning neural network for adaptive control of Markov chains

✍ Santharam, G.; Sastry, P.S. 📂 Article 📅 1997 🏛 IEEE 🌐 English ⚖ 570 KB

Fuzzy reinforcement learning control for

Fuzzy reinforcement learning control for compliance tasks of robotic manipulators

✍ Tzafestas, S.G.; Rigatos, G.G. 📂 Article 📅 2002 🏛 IEEE 🌐 English ⚖ 218 KB

Robust adaptive control of robot manipul

Robust adaptive control of robot manipulators using generalized fuzzy neural networks

✍ Meng Joo Er; Yang Gao 📂 Article 📅 2003 🏛 IEEE 🌐 English ⚖ 656 KB