Linear Systems Theory

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A. Terry Bahill
A01=A. Terry Bahill
A01=Ferenc Szidarovszky
Adaptive Control Systems
Adjoint System
Asymptotically Stable
Author_A. Terry Bahill
Author_Ferenc Szidarovszky
BIBO Stability
canonical forms theory
Category=GPFC
Category=PBW
Characteristic Polynomial
Continuous Linear System
Discrete Linear System
dynamic process modeling
engineering system applications
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
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Ferenc Szidarovszky
Global Asymptotical Stability
Kalman Bucy Filter
Lyapunov Function
Metzler Matrix
Model Reference Adaptive System
Negative Real Parts
Neural Networks
nonlinear stability concepts
Nth Degree Polynomial
Observability Gramian
Observability Matrix
Open Loop Observer
Reduced Order Observers
state space analysis
system controllability
Time Invariant Continuous System
Time Invariant Linear Systems
Time Invariant Systems
Time Variant Linear System
transfer function methods
Uniform Exponential Stability

Product details

  • ISBN 9780849316876
  • Weight: 875g
  • Dimensions: 156 x 234mm
  • Publication Date: 25 Nov 1997
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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This second edition comprehensively presents important tools of linear systems theory, including differential and difference equations, Laplace and Z transforms, and more.
Linear Systems Theory discusses:

  • Nonlinear and linear systems in the state space form and through the transfer function method
  • Stability, including marginal stability, asymptotical stability, global asymptotical stability, uniform stability, uniform exponential stability, and BIBO stability
  • Controllability
  • Observability
  • Canonical forms
  • System realizations and minimal realizations, including state space approach and transfer function realizations
  • System design
  • Kalman filters
  • Nonnegative systems
  • Adaptive control
  • Neural networks
    The book focuses mainly on applications in electrical engineering, but it provides examples for most branches of engineering, economics, and social sciences.
    What's New in the Second Edition?
  • Case studies drawn mainly from electrical and mechanical engineering applications, replacing many of the longer case studies
  • Expanded explanations of both linear and nonlinear systems as well as new problem sets at the end of each chapter
  • Illustrative examples in all the chapters
  • An introduction and analysis of new stability concepts
  • An expanded chapter on neural networks, analyzing advances that have occurred in that field since the first edition
    Although more mainstream than its predecessor, this revision maintains the rigorous mathematical approach of the first edition, providing fast, efficient development of the material.
    Linear Systems Theory enables its reader to develop his or her capabilities for modeling dynamic phenomena, examining their properties, and applying them to real-life situations.
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