Titlebook: Nonlinear Systems and Circuits in Internal Combustion Engines; Modeling and Control Ferdinando Taglialatela-Scafati,Mario Lavorgna,Bia Book

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SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/n/image/667719.jpg

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https://doi.org/10.1007/978-3-319-67140-6Engine Control Systems; Nonlinear Models; Nonlinear Learning Circuits; Neural Networks; Nonlinear Contro

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2191-530X portant practical application of nonlinear circuits.Explains.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

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Book 2018ok 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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Modeling of Particle Size Distribution at the Exhaust of Internal Combustion Engines,oted to the real-time prediction of particle size distribution at the exhaust of internal combustion engines on the basis of some specific inputs, such as engine speed, engine load, and amount of exhaust recirculated gases.

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Artificial Intelligence for Modeling and Control of Nonlinear Phenomena in Internal Combustion Engis. The present chapter aims to describe the use of artificial intelligence, especially Artificial Neural Networks and Fuzzy Logic techniques, in some engine applications where the inherent nonlinear nature of the process dynamics requires alternative approaches to guarantee a more accurate control action.