Nonlinear System Stochastic Techniques for Ocean Engineering Applications

Abstract

This report discusses the analysis and identification of nonlinear system dynamic properties by stochastic techniques on measured experimental data. Two ocean engineering applications of this material are developed of concern to NCEL representing: (a) nonlinear wave force problems, and (b) nonlinear drift force problems. General models are formulated consisting of parallel linear and nonlinear systems where the input data can be Gaussian or non-Gaussian. Formulas are stated for statistical errors in estimates from measured random data to help design experiments and to evaluate results. The last section of this report derives various useful input/output relationships when stationary random data pass through three types of nonlinear nonsymmetrical systems of physical interest.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1989
Accession Number
ADA216760

Entities

People

  • Julius S. Bendat
  • Paul A. Palo

Organizations

  • Naval Facilities Engineering Service Center

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Civil Engineering
  • Cross Correlation
  • Data Analysis
  • Electrical Solitons
  • Engineering
  • Frequency
  • Frequency Domain
  • Frequency Response
  • Identification
  • Linear Systems
  • Nonlinear Dynamics
  • Nonlinear Systems
  • Probability
  • Probability Density Functions
  • Two Dimensional
  • Waves

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Control Systems Engineering.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms