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Design and Analysis of Control Systems

Case Studies

  • Book
  • © 2017

Overview

Authors:
  1. Humberto Stein Shiromoto

    1. The Australian Centre for Field Robotics, The University of Sydney, Sydney, Australia

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  • Provides a framework to blend different approaches for controller design
  • Presents measure-theoretical techniques for the analysis and design of nonlinear systems
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

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Table of contents (3 chapters)

  1. Front Matter

    Pages i-xi
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  2. Introduction

    • Humberto Stein Shiromoto
    Pages 1-4

  3. Blending Two Feedback Laws

    • Humberto Stein Shiromoto
    Pages 5-36

  4. Analysis Under Nested Criteria

    • Humberto Stein Shiromoto
    Pages 37-69

  5. Back Matter

    Pages 71-90
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Keywords

About this book

This book provides methods to unify different approaches to tackle stability theory problems. In particular, it presents a methodology to blend approaches obtained from measure theory with methods obtained from Lyapunov’s stability theory. The author summarizes recent works on how different analysis/design methods can be unified and employed for systems that do not belong to either of domains of validity.

Reviews

“In this book, the author addresses some problems regarding the design of feedback laws and an analysis of the interaction of the interconnected systems. ... this is a well-structured book intended for researchers in control theory and engineers familiar with the topic.” (Mohamed Ouzahra, Mathematical Reviews, December, 2017)

Authors and Affiliations

  • The Australian Centre for Field Robotics, The University of Sydney, Sydney, Australia

    Humberto Stein Shiromoto

About the author

Humberto Stein Shiromoto is a postdoctoral researcher at the Australian Centre for Field Robotics, The University of Sydney, Australia. His research interests include Lyapunov’s stability theory and nonlinear hybrid systems with applications to cyber-physical systems and robotics.

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