Experimental Study on Learning of Neural Network Using Particle Swarm Optimization in Predictive Fuzzy for Pneumatic Servo System-Reference-Cited by-同舟云学术

Experimental Study on Learning of Neural Network Using Particle Swarm Optimization in Predictive Fuzzy for Pneumatic Servo System

Published:2019-02-19 Issue: Volume: Page:323-332
ISSN:1860-949X
Container-title:Cognitive Internet of Things: Frameworks, Tools and Applications
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Author:

Mu Shenglin,Shibata Satoru,Yamamoto Tomonori,Goto Seigo,Nakashima Shota,Tanaka Kanya

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-04946-1_32

Reference9 articles.

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2. Kumar, V., Nakra, B.C., Mittal, A.P.: A review on classical and fuzzy PID controllers. Int. J. Intell. Control Syst. 16(3), 170–181 (2011)

3. Li, J., Tanaka, K.: Intelligent control for pneumatic servo system. JSME Int. J. Ser. C 46(2), 699–704 (2003)

4. Shibata, S., Jindai, M., Yamamoto, T., Shimizu, A.: Neuro-Fuzzy control for pneumatic servo systems. JSME Int. J. Ser. C 45(2), 449–455 (2002)

5. Ba, D., Dinh, Q., Ahn, K.: An integrated intelligent nonlinear control method for a pneumatic artificial muscle. IEEE/ASME Trans. Mechatron. 21(4), 1835–1845 (2016)

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