@article{MAKHILLJEAS20149413427,
    title = {Neural Network Optimization of Design Parameters of Stewart Platform for Effective Active Vibration Isolation},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {9},
    number = {4},
    pages = {78-84},
    year = {2014},
    issn = {1816-949x},
    doi = {jeasci.2014.78.84},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2014.78.84},
    author = {Rahmath Ulla and},
    keywords = {: Active vibration isolation,Stewart platform,neural network,frequency,investigated},
    abstract = {In several engineering applications vibration isolation must 
  be carefully considered, as the vibration propagating into or out of the system 
  can significantly degrade the performance. A passive isolation limits the magnification 
  at resonance, at the same time it reduces the high frequency attenuation where 
  as Active Vibration Isolation (AVI) resolves this conflict. Stewart Platform 
  (SP) has been investigated by many researchers, as an AVI system which can isolate 
  vibrations in all 6 degree of freedom. This study focuses on design parameter 
  optimization of SP for AVI. The SP is modeled in MATLAB and design parameter 
  optimization is carried out using Neural Network. The optimal configuration 
  is effective in providing low amplitude at corner frequency and good attenuation 
  at high frequency of >40 dB. Finally, the model developed in MATLAB is validated 
  using Tao configuration.}
    }