Gradient Based Optimization and Control of Chaotic Multidisciplinary Systems via Least Squares Shadowing Adjoint Method

Abstract

This project has successfully developed the Least Squares Shadowing method for computing sensitivity gradients for optimizing the long-time behavior of chaotic dynamical systems, such as many unsteady flows. The Non-Intrusive-Least-Squares-Shadowing (NILSS) method has been developed theoretically. Its application to several computational fluid dynamics problems has been demonstrated.

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Document Details

Document Type
Technical Report
Publication Date
Aug 10, 2018
Accession Number
AD1059547

Entities

People

  • Qiqi Wang

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Computational Fluid Dynamics
  • Computational Science
  • Computations
  • Differential Equations
  • Dynamics
  • Equations
  • Flow
  • Fluid Dynamics
  • Fluid Flow
  • Numerical Analysis
  • Optimization
  • Physics
  • Reynolds Number
  • Three Dimensional
  • Two Dimensional
  • Unsteady Flow

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Control Systems Engineering.
  • Wave Propagation and Nonlinear Chaotic Dynamics.