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Nonlinear Systems and Circuits in Internal Combustion Engines

Modeling and Control

  • Ferdinando Taglialatela-Scafati
  • Mario Lavorgna
  • Ezio  Mancaruso
  • Bianca Maria Vaglieco

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

Also part of the SpringerBriefs in Nonlinear Circuits book sub series (BRIEFSNONLINCIRC)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Ferdinando Taglialatela Scafati, Mario Lavorgna, Ezio Mancaruso, Bianca Maria Vaglieco
    Pages 1-19
  3. Ferdinando Taglialatela Scafati, Mario Lavorgna, Ezio Mancaruso, Bianca Maria Vaglieco
    Pages 21-32
  4. Ferdinando Taglialatela Scafati, Mario Lavorgna, Ezio Mancaruso, Bianca Maria Vaglieco
    Pages 33-46
  5. Ferdinando Taglialatela Scafati, Mario Lavorgna, Ezio Mancaruso, Bianca Maria Vaglieco
    Pages 47-54
  6. Ferdinando Taglialatela Scafati, Mario Lavorgna, Ezio Mancaruso, Bianca Maria Vaglieco
    Pages 55-71
  7. Ferdinando Taglialatela Scafati, Mario Lavorgna, Ezio Mancaruso, Bianca Maria Vaglieco
    Pages 73-77
  8. Back Matter
    Pages 79-80

About this book

Introduction

This brief provides an overview on the most relevant nonlinear phenomena in internal combustion engines with a particular emphasis on the use of nonlinear circuits in their modelling and control.

The brief contains advanced methodologies —based on neural networks and soft-computing approaches among others— for the compensation of engine nonlinearities by using the combustion pressure signal and proposes several techniques for the reconstruction of this signal on the basis of different engine parameters, including engine-block vibration and crankshaft rotational speed. Another topic of the book is the diagnosis of the nonlinearities of injection systems and their balancing, which is a mandatory task for the new generation of gasoline direct injection engines.

The authors come from both industrial and academic backgrounds, so the brief represents an important tool both for researchers and practitioners in the automotive industry.

Keywords

Engine Control Systems Nonlinear Models Nonlinear Learning Circuits Neural Networks Nonlinear Control Automotive Systems Internal Combustion Engine

Authors and affiliations

  • Ferdinando Taglialatela-Scafati
    • 1
  • Mario Lavorgna
    • 2
  • Ezio  Mancaruso
    • 3
  • Bianca Maria Vaglieco
    • 4
  1. 1.Automotive and Discrete GroupSTMicroelectronicsArzanoItaly
  2. 2.Automotive and Discrete GroupSTMicroelectronicsArzanoItaly
  3. 3.Istituto MotoriNational Research Council (CNR)NapoliItaly
  4. 4.Istituto MotoriNational Research Council (CNR)NapoliItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-67140-6
  • Copyright Information The Author(s) 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-67139-0
  • Online ISBN 978-3-319-67140-6
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site