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Eigenstructure Assignment for Control System Design
 
 
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Eigenstructure Assignment for Control System Design [Paperback]

G. P. Liu (Author), R. J. Patton (Author)

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Book Description

0471975494 978-0471975496 March 1998 1
Helicopters, aircraft and missiles are just some of the practical multivariable control systems to which eigenstructure assignment has been applied in recent years. Liu and Patton offer a uniquely integrated introduction to eigenstructure assignment theory and techniques for multi-input multi-output control system design. Features include:
  • Introduction to the Eigenstructure Assignment Toolbox for use with MATLAB (examples available via the Internet) providing engineers with a powerful set of tools for the design of multivariable systems
  • Broad coverage including the principle of eigenstructure assignment, basic, insensitive, robust and multiobjective eigenstructure assignment for multirate sampled-data systems, descriptor systems and fault detection systems
  • Description of the majority of known eigenstructure assignment methods for both state and output feedback control offering the reader a concise reference
  • Combination of time-domain and frequency-domain performance specifications for robust control design

Postgraduates and researchers studying control engineering will appreciate the combination of mathematical theory and practical issues. Control engineers, particularly those working in the aerospace industry, will profit from the detailed application sections which relate eigenstructure assignment to real industrial problems.


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Editorial Reviews

From the Publisher

Focuses on eigenstructure assignment -- a system design method used in control engineering. Specifically, eigenstructure assignment techniques are widely used in the design of linear, time-invariant multivariable control systems. Eigenvalues are the principal factors that govern the stability of the system and the rates of decay of the various portions of the system dynamic response.

From the Back Cover

Helicopters, aircraft and missiles are just some of the practical multivariable control systems to which eigenstructure assignment has been applied in recent years. Liu and Patton offer a uniquely integrated introduction to eigenstructure assignment theory and techniques for multi-input multi-output control system design. Features include:
  • Introduction to the Eigenstructure Assignment Toolbox for use with MATLAB (examples available via the Internet) providing engineers with a powerful set of tools for the design of multivariable systems
  • Broad coverage including the principle of eigenstructure assignment, basic, insensitive, robust and multiobjective eigenstructure assignment for multirate sampled-data systems, descriptor systems and fault detection systems
  • Description of the majority of known eigenstructure assignment methods for both state and output feedback control offering the reader a concise reference
  • Combination of time-domain and frequency-domain performance specifications for robust control design

Postgraduates and researchers studying control engineering will appreciate the combination of mathematical theory and practical issues. Control engineers, particularly those working in the aerospace industry, will profit from the detailed application sections which relate eigenstructure assignment to real industrial problems.


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Inside This Book (learn more)
First Sentence:
In the 1960s Wonham presented the fundamental result on eigenvalue assignment in linear time-invariant multivariable controllable systems (Wonham, 1967). Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
parametric eigenstructure assignment, eigenstructure assignment toolbox, allowable eigenvector subspaces, feedback eigenstructure assignment, direct eigenstructure assignment, eigenstructure assignment problem, using eigenstructure assignment, real eigenvalue case, generalised eigenvector matrix, generalised eigenvectors, basic eigenstructure assignment, individual eigenvalue sensitivities, eigenvalue conditioning, optimal robust control design, right parameter vector, system eigenstructure, dynamical compensator, eigenstructure assignment design, right eigenvector assignment, explicit parametric solution, left eigenvector assignment, explicit parametric expression, robust eigenstructure assignment, individual eigenvalue sensitivity, single rate design
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