NEURAL NETWORK EMULATION OF INVERSE DYNAMICS FOR A MAGNETORHEOLOGICAL DAMPER

By Chih-Chen Chang, Li Zhou. 2002

191 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/c2bf6507eb683aa7ffa3f8322e8296b2bd49b291

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Haiping Du
2. Seung-bok Choi
3. Weihua Li
4. J. Fu
5. Miao Yu
6. P. Do
7. Jianchun Li
8. Yancheng Li

In Mechanical Engineering

1. Haiping Du
2. Weihua Li
3. J. Fu
4. Miao Yu
5. P. Do
6. Seung-bok Choi

Citations in the corpus

• State of the art of control schemes for smart systems featuring magneto-rheological materials (2016, methodology): “controller and NNs control method was applied to the MRF damper in [28].”