Perspectives in Robust Control

This book is based on a workshop entitled "Robust Control workshop 2000". The workshop was held in Newcastle, Australia, from the 6th to the 8th December 2000. Chapters of the book are written by some of the leading researchers in the field of Robust Control. They cover a variety of topics...

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Bibliographic Details
Other Authors: Moheimani, S.O.Reza (Editor)
Format: eBook
Language:English
Published: London Springer London 2001, 2001
Edition:1st ed. 2001
Series:Lecture Notes in Control and Information Sciences
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • Identification of systems with hard input nonlinearities
  • Robust control of production-distribution systems
  • Multirate systems and related interpolation problems
  • Tracking performance with finite input energy
  • Linear quadratic control with input saturation
  • Robustness issues associated with the provision of integral action in nonlinear systems
  • Robust and adaptive control — Fidelity or a free relationship?
  • Experiments in spatial H ? control of a piezoelectric laminate beam
  • On establishing classic performance measures for reset control systems
  • Generalized quadratic lyapunov functions for nonlinear/uncertain systems analysis
  • Towards online computation of information state controllers
  • Time domain integrals for linear sampled data control systems
  • A linear time-varying approach to model reference adaptive control
  • Sampled-data control of nonlinear systems: An overview of recent results
  • Stability tests for constrained linear systems
  • Equivalent realizations for IQC uncertain systems
  • Recent advances in robust control, feedback and learning
  • Hybrid dynamical systems: Stability and chaos
  • Multi-objective control without youla parameterization
  • An LMI approach to the identification and (in)validation of LPV systems
  • Randomized algorithms for analysis and control of uncertain systems: An overview
  • Distributionally robust monte carlo analysis of circuits: The truncation phenomenon