Intelligent Control Strategies for the Acrobot Using Neurocontroller Optimized by Genetic Algorithm-Reference-Cited by-同舟云学术

Intelligent Control Strategies for the Acrobot Using Neurocontroller Optimized by Genetic Algorithm

Published:2009-09-01 Issue:5 Volume:2 Page:317-324
ISSN:1882-4889
Container-title:SICE Journal of Control, Measurement, and System Integration
language:en
Short-container-title:SICE Journal of Control, Measurement, and System Integration

Author:

Duong Sam Chau¹,Uezato Eiho¹,Kinjo Hiroshi¹,Yamamoto Tetsuhiko²

Affiliation:

1. Faculty of Engineering, University of the Ryukyus

2. Tokushima College of Technology

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.9746/jcmsi.2.317

Reference12 articles.

1. [1] M.W. Spong: The swing up control problem for the Acrobot, IEEE Control Systems Magazine, Vol. 15, No.1, pp. 49-55, 1995.

2. A swing-up of the acrobot based on a simple pendulum strategy

3. [3] R.S. Sutton and A.G. Barto: Reinforcement Learning: An Introduction, MIT Press, Cambridge, 1998.

4. [4] R.S. Sutton: Generalization in reinforcement learning: Successful examples using sparse coarse coding, Advances in Neural Information Processing Systems 8, pp. 1038-1044, MIT Press, 1996.

5. [5] G. Boone: Efficient reinforcement learning: Model-based Acrobot control, Proc. IEEE International Conference on Robotics and Automation, Vol. 1, pp. 229-234, 1997.

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