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Control of multidimensional integrable Hamiltonian systems.

C W Kulp1, E R Tracy

  • 1Department of Physics and Astronomy, Eastern Kentucky University, Richmond, Kentucky 40475, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 26, 2005
PubMed
Summary

We investigated the controllability of a four-dimensional integrable Hamiltonian system. Applying small control coupling results in a Takens-Bogdanov bifurcation, increasing noise sensitivity and requiring noise threshold analysis.

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Area of Science:

  • Nonlinear Dynamics
  • Control Theory
  • Mathematical Physics

Background:

  • Integrable Hamiltonian systems are fundamental in physics.
  • Low-mode truncation of the nonlinear Schrödinger equation yields a four-dimensional system.
  • Controllability analysis is crucial for understanding system behavior under external influence.

Purpose of the Study:

  • To analyze the controllability of a specific four-dimensional integrable Hamiltonian system.
  • To investigate the occurrence and implications of bifurcations under control.
  • To determine the noise sensitivity and establish a noise threshold for the controlled system.

Main Methods:

  • Analysis of a four-dimensional integrable Hamiltonian system derived from the nonlinear Schrödinger equation.

Related Experiment Videos

  • Application of control theory to target specific system dynamics.
  • Identification of Takens-Bogdanov bifurcations in the small control coupling limit.
  • Implementation of a noise threshold extraction algorithm.
  • Main Results:

    • A Takens-Bogdanov bifurcation is shown to occur at the control target for small control coupling.
    • This bifurcation generically arises when applying dissipative control to integrable Hamiltonian systems.
    • The Takens-Bogdanov bifurcation leads to extreme sensitivity to noise.
    • A subcritical noise threshold for the four-dimensional system was successfully extracted.

    Conclusions:

    • The study confirms the generic occurrence of Takens-Bogdanov bifurcations in controlled integrable Hamiltonian systems.
    • The identified noise sensitivity necessitates careful consideration of noise thresholds in control applications.
    • The implemented algorithm provides a method for quantifying noise resilience in such systems.