Nonlinear Systems and Circuits in Internal Combustion Engines

Modeling and Control

Nonfiction, Science & Nature, Technology, Electronics, Circuits, Engineering, Automotive
Cover of the book Nonlinear Systems and Circuits in Internal Combustion Engines by Ferdinando Taglialatela-Scafati, Bianca Maria Vaglieco, Ezio  Mancaruso, Mario Lavorgna, Springer International Publishing
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Author: Ferdinando Taglialatela-Scafati, Bianca Maria Vaglieco, Ezio Mancaruso, Mario Lavorgna ISBN: 9783319671406
Publisher: Springer International Publishing Publication: October 31, 2017
Imprint: Springer Language: English
Author: Ferdinando Taglialatela-Scafati, Bianca Maria Vaglieco, Ezio Mancaruso, Mario Lavorgna
ISBN: 9783319671406
Publisher: Springer International Publishing
Publication: October 31, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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