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Nonlinear Systems and Circuits in In...
~
Lavorgna, Mario.
Nonlinear Systems and Circuits in Internal Combustion Engines = Modeling and Control /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Nonlinear Systems and Circuits in Internal Combustion Engines/ by Ferdinando Taglialatela-Scafati, Mario Lavorgna, Ezio Mancaruso, Bianca Maria Vaglieco.
Reminder of title:
Modeling and Control /
Author:
Taglialatela-Scafati, Ferdinando.
other author:
Lavorgna, Mario.
Description:
XII, 80 p. 60 illus., 49 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Automotive engineering. -
Online resource:
https://doi.org/10.1007/978-3-319-67140-6
ISBN:
9783319671406
Nonlinear Systems and Circuits in Internal Combustion Engines = Modeling and Control /
Taglialatela-Scafati, Ferdinando.
Nonlinear Systems and Circuits in Internal Combustion Engines
Modeling and Control /[electronic resource] :by Ferdinando Taglialatela-Scafati, Mario Lavorgna, Ezio Mancaruso, Bianca Maria Vaglieco. - 1st ed. 2018. - XII, 80 p. 60 illus., 49 illus. in color.online resource. - SpringerBriefs in Nonlinear Circuits,2520-1433. - SpringerBriefs in Nonlinear Circuits,.
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.
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.
ISBN: 9783319671406
Standard No.: 10.1007/978-3-319-67140-6doiSubjects--Topical Terms:
1104081
Automotive engineering.
LC Class. No.: TL1-483
Dewey Class. No.: 629.2
Nonlinear Systems and Circuits in Internal Combustion Engines = Modeling and Control /
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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.
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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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Engineering (R0) (SpringerNature-43712)
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