AuthorZhong, Wan-Xie. author
TitleDuality System in Applied Mechanics and Optimal Control [electronic resource] / by Wan-Xie Zhong
ImprintBoston, MA : Springer US, 2004
Connect tohttp://dx.doi.org/10.1007/b130344
Descript XIII, 456 p. online resource

SUMMARY

A unified approach is proposed for applied mechanics and optimal control theory. The Hamilton system methodology in analytical mechanics is used for eigenvalue problems, vibration theory, gyroscopic systems, structural mechanics, wave-guide, LQ control, Kalman filter, robust control etc. All aspects are described in the same unified methodology. Numerical methods for all these problems are provided and given in meta-language, which can be implemented easily on the computer. Precise integration methods both for initial value problems and for two-point boundary value problems are proposed, which result in the numerical solutions of computer precision. Key Features of the text include: -Unified approach based on Hamilton duality system theory and symplectic mathematics. -Gyroscopic system vibration, eigenvalue problems. -Canonical transformation applied to non-linear systems. -Pseudo-excitation method for structural random vibrations. -Precise integration of two-point boundary value problems. -Wave propagation along wave-guides, scattering. -Precise solution of Riccati differential equations. -Kalman filtering. -HINFINITY theory of control and filter


CONTENT

to analytical dynamics -- Vibration Theory -- Probability and stochastic process -- Random vibration of structures -- Elastic system with single continuous coordinate -- Linear optimal control, theory and computation


SUBJECT

  1. Mathematics
  2. Applied mathematics
  3. Engineering mathematics
  4. Calculus of variations
  5. Vibration
  6. Dynamical systems
  7. Dynamics
  8. Mechanical engineering
  9. Mathematics
  10. Applications of Mathematics
  11. Appl.Mathematics/Computational Methods of Engineering
  12. Calculus of Variations and Optimal Control; Optimization
  13. Vibration
  14. Dynamical Systems
  15. Control
  16. Mechanical Engineering