Modelling, Robustness and Sensitivity Reduction in Control Systems

Historically, one of the basic issues in control systems design has been robustness: the ability of a controlled plant to withstand variations in or lack of knowledge of its dynamics. Even if the dynamics of a system are accurately known for purposes of implementation, it is often desirable to desig...

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Bibliographic Details
Other Authors: Curtain, Ruth F. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1987, 1987
Edition:1st ed. 1987
Series:NATO ASI Subseries F:, Computer and Systems Sciences
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • A guide to H? -control theory
  • Nonlinear interpolation theory in H?
  • Super-optimal Hankel norm approximations
  • Hankel norm approximation for infinite dimensional systems and Wiener-Hopf factorization
  • Imaginary-axis zeros in multivariable H? -optimal control
  • A polynomial approach to H? -optimization of control systems
  • Bounds on the achievable accuracy in model reduction
  • Recent and new results in rational L2 -approximation
  • Design examples using ?-synthesis: Space shuttle lateral axis FCS during reentry
  • A necessary and sufficient condition for robustness of stability under known additive perturbation
  • Recursive methods for control design based on approximate models
  • Performance-robust design via a multi-criteria/multi-model approach — a flight control case study
  • Unfalsified modelling in dynamical systems
  • Approximative inversion of positive matrices with applications to modelling
  • The periodic prediction problem for cyclostationary processes — an introduction
  • System identification: design variables and the design objective
  • Approximate modelling of deterministic systems
  • Some new results on and applications of an algorithm of Agashe
  • An application of H? -design and some computational improvements
  • Hankel and Toeplitz operators in linear quadratic and H?-designs
  • H?-optimal control, LQG polynomial systems techniques and numerical solution procedures
  • Optimal H? -interpolation: a new approach
  • Some Min-Max optimization problems in infinite-dimensional control systems
  • Control system design to minimize maximum errors
  • Implications of a characterization result on strong and reliable decentralized control
  • Sensitivity minimization as a Nevanlinna-Pick interpolation problem
  • The spectral factorization problem for SISOdistributed systems
  • 7. List of Participants