Adaptive Heave Compensation via Dynamic Neural Networks

نویسندگان

  • D. G. Lainiotis
  • K. N. Plataniotis
  • Dinesh Menon
  • C. J. Charalampous
چکیده

This paper discusses the problem of Adaptive heave compensation. A new estimator based on dynamic recurrent neural networks is applied to this problem. It is shown that the new algorithm is well suited for online implementation and has excellent performance. Computational results via extensive simulations are provided to illustrate the effectiveness of the algorithm. A comparative evaluation with conventional methods is also provided.

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تاریخ انتشار 1993