Description

Book Synopsis
Extremum Seeking through Delays and PDEs, the first book on the topic, expands the scope of applicability of the extremum seeking method, from static and finite-dimensional systems to infinite-dimensional systems. Readers will find:
  • Numerous algorithms for model-free real-time optimization are developed and their convergence guaranteed.
  • Extensions from single-player optimization to noncooperative games, under delays and PDEs, are provided.
  • The delays and pdes are compensated in the control designs using the PDE backstepping approach, and stability is ensured using infinite-dimensional versions of averaging theory.
  • Accessible and powerful tools for analysis.
This book is intended for control engineers in all disciplines (electrical, mechanical, aerospace, chemical), mathematicians, physicists, biologists, and economists. It is appropriate for graduate students, researchers, and industrial users.

Extremum Seeking through Delays and PDEs

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    A Hardback by Tiago Roux Oliveira, Miroslav Krstic

    £100.30

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      Book details

      Published 30 January 2023
      ISBN-13 9781611977349
      978-1611977349
      ISBN-10 1611977347

      Description

      Book Synopsis
      Extremum Seeking through Delays and PDEs, the first book on the topic, expands the scope of applicability of the extremum seeking method, from static and finite-dimensional systems to infinite-dimensional systems. Readers will find:
      • Numerous algorithms for model-free real-time optimization are developed and their convergence guaranteed.
      • Extensions from single-player optimization to noncooperative games, under delays and PDEs, are provided.
      • The delays and pdes are compensated in the control designs using the PDE backstepping approach, and stability is ensured using infinite-dimensional versions of averaging theory.
      • Accessible and powerful tools for analysis.
      This book is intended for control engineers in all disciplines (electrical, mechanical, aerospace, chemical), mathematicians, physicists, biologists, and economists. It is appropriate for graduate students, researchers, and industrial users.

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