Linearization of nonlinear control systems

Linearization of nonlinear control systems

by Lee, Hong-Gi

Type Book
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This textbook helps graduate level student to understand easily the linearization of nonlinear control system. Differential geometry is essential to understand the linearization problems of the control nonlinear systems. In this book, the basics of differential geometry, needed in linearization, are explained on the Euclean space instead of the manifold for the students who are not accustomed to differential geometry. Many Lie algebra formulas, used often in linearization, are also provided wit…

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Title Statements

  • Full title :Linearization of nonlinear control systems / Hong-Gi Lee.

Summary

This textbook helps graduate level student to understand easily the linearization of nonlinear control system. Differential geometry is essential to understand the linearization problems of the control nonlinear systems. In this book, the basics of differential geometry, needed in linearization, are explained on the Euclean space instead of the manifold for the students who are not accustomed to differential geometry. Many Lie algebra formulas, used often in linearization, are also provided with proof. The conditions in the linearization problems are complicated to check because the Lie bracket calculation of vector fields by hand needs much concetration and time. This book provides the MATLAB programs for most of the theorems.

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Edition Statements

  • Publication Date:©2022

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:Singapore
  • Language:eng
  • Publication Date:©2022

The Physical Object

  • Description:1 online resource (xiii, 589 pages) : : illustrations

Edition Identifiers

  • ISBN:9789811936432, 9811936439
  • DOI:10.1007/978-981-19-3643-2
  • oclc:on1343955178
  • LC Classification:QA402.35
  • Dewey Decimal:629.8/36

Table of Contents

1 Introduction -- 2 Basic Mathematics for Linearization -- 3 Linearization by State Transformation -- 4 Feedback Linearization -- 5 Linearization with Output Equation -- 6 Dynamic Feedback Linearization -- 7 Linearization of Discrete-time Systems -- 8 Observer Error Linearization -- 9 Input-output Decoupling.

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