Nonlinear Systems and Circuits in Internal Combustion Engines [electronic resource] Modeling and Control / by Ferdinando Taglialatela-Scafati, Mario Lavorgna, Ezio Mancaruso, Bianca Maria Vaglieco.

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...

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Bibliographic Details
Uniform Title:SpringerBriefs in Nonlinear Circuits, 2520-1441
Main Authors: Taglialatela-Scafati, Ferdinando (Author)
Lavorgna, Mario (Author)
Mancaruso, Ezio (Author)
Vaglieco, Bianca Maria (Author)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:SpringerBriefs in Nonlinear Circuits,
Subjects:
Online Access:
Variant Title:
Nonlinear Systems and Circuits in Internal Combustion Engines: Modeling and Control
Format: Electronic eBook

MARC

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100 1 |a Taglialatela-Scafati, Ferdinando.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Nonlinear Systems and Circuits in Internal Combustion Engines  |h [electronic resource]  |b Modeling and Control /  |c by Ferdinando Taglialatela-Scafati, Mario Lavorgna, Ezio Mancaruso, Bianca Maria Vaglieco. 
246 2 |a Nonlinear Systems and Circuits in Internal Combustion Engines: Modeling and Control 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
490 1 |a SpringerBriefs in Nonlinear Circuits,  |x 2520-1441 
505 0 |a Introduction -- Nonlinear Phenomena in Internal Combustion Engines -- Non-Interfering Diagnostics for the Study of Thermo Fluid-Dynamic Processes in Combustion Engines -- Modelling of Particle Size Distribution in Internal Combustion Engines -- Diagnosis and Control of Combustion Engines Using Vibration Signals -- Pressure Signal Reconstruction In-Cylinder by Using Learning Circuits Modelling and Engine Control -- Gasoline Direct Injection: Identification and Compensation of Ballistic Phenomena. 
520 |a 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. 
650 0 |a Automotive engineering. 
650 0 |a Electronic circuits. 
650 0 |a Control engineering. 
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700 1 |a Mancaruso, Ezio.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Vaglieco, Bianca Maria.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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