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Introduction

Chapter
Part of the Communications and Control Engineering book series (CCE)

Abstract

Control theory has been extremely successful in dealing with linear time-invariant models of dynamic systems. A blend of state space and frequency domain methods has reached a level at which feedback control design is systematic, not only with disturbance-free models, but also in the presence of disturbances and modeling errors. There is an abundance of design methodologies for linear models: root locus, Bode plots, LQR-optimal control, eigenstructure assignment, H-infinity, µ-synthesis, linear matrix inequalities, etc. Each of these methods can be used to achieve stabilization, tracking, disturbance attenuation and similar design objectives.

Keywords

Lyapunov Function Relative Degree Stability Margin Minimum Phase Slow Manifold 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 1997

Authors and Affiliations

  1. 1.CESAMEUniversité Catholique de LouvainLouvain-la-NeuveBelgium
  2. 2.Scientific Research LaboratoriesFord Motor CompanyDearbornUSA
  3. 3.Department of Electrical and Computer EngineeringUniversity of CaliforniaSanta BarbaraUSA

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