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Singular Perturbation Methods in Control

Singular Perturbation Methods in Control

Singular Perturbation Methods in Control

Analysis and Design
Petar Kokotović
Hassan K. Khali
John O'Reilly
August 1999
Paperback
9780898714449
AUD$131.82
exc GST
Paperback

    Singular perturbations and time-scale techniques were introduced to control engineering in the late 1960s and have since become common tools for the modeling, analysis, and design of control systems. In this SIAM Classics edition of the 1986 book, the original text is reprinted in its entirety (along with a new preface), providing once again the theoretical foundation for representative control applications. This book continues to be essential in many ways. It lays down the foundation of singular perturbation theory for linear and nonlinear systems, it presents the methodology in a pedagogical way that is not available anywhere else, and it illustrates the theory with many solved examples, including various physical examples and applications. So while new developments may go beyond the topics covered in this book, they are still based on the methodology described here, which continues to be their common starting point.

    Product details

    August 1999
    Paperback
    9780898714449
    387 pages
    225 × 150 × 21 mm
    0.506kg
    This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.

    Table of Contents

    • Preface to the classics edition
    • Preface to the first edition
    • Acknowledgments
    • 1. Time-scale modeling
    • 2. Linear time-invariant systems
    • 3. Linear feedback control
    • 4. Stochastic linear filtering and control
    • 5. Linear Time-Varying systems
    • 6. Optimal control
    • 7. Nonlinear systems
    • References
    • References Added in proof
    • Appendix A. Approximation of singularly perturbed systems Driven by white noise
    • Appendix B
    • Index.
      Authors
    • Petar Kokotović
    • Hassan K. Khali
    • John O'Reilly