Linear Systems Theory |
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| Author:
| Szidarovszky, Ferenc
Bahill, A. Terry |
| Series title: | Systems Engineering Ser. |
| ISBN: | 978-0-8493-1687-6 |
| Publication Date: | Feb 1992 |
| Publisher: | CRC Press LLC
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| Book Format: | Hardback |
| List Price: | AUD $297.00 |
Book Description:
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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...
More Description
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.