Identification for Automotive Systems

Identification for Automotive Systems PDF Author: Daniel Alberer
Publisher: Springer Science & Business Media
ISBN: 1447122208
Category : Technology & Engineering
Languages : en
Pages : 360

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Book Description
Increasing complexity and performance and reliability expectations make modeling of automotive system both more difficult and more urgent. Automotive control has slowly evolved from an add-on to classical engine and vehicle design to a key technology to enforce consumption, pollution and safety limits. Modeling, however, is still mainly based on classical methods, even though much progress has been done in the identification community to speed it up and improve it. This book, the product of a workshop of representatives of different communities, offers an insight on how to close the gap and exploit this progress for the next generations of vehicles.

Identification for Automotive Systems

Identification for Automotive Systems PDF Author: Daniel Alberer
Publisher: Springer Science & Business Media
ISBN: 1447122208
Category : Technology & Engineering
Languages : en
Pages : 360

Get Book Here

Book Description
Increasing complexity and performance and reliability expectations make modeling of automotive system both more difficult and more urgent. Automotive control has slowly evolved from an add-on to classical engine and vehicle design to a key technology to enforce consumption, pollution and safety limits. Modeling, however, is still mainly based on classical methods, even though much progress has been done in the identification community to speed it up and improve it. This book, the product of a workshop of representatives of different communities, offers an insight on how to close the gap and exploit this progress for the next generations of vehicles.

Automotive Systems and Software Engineering

Automotive Systems and Software Engineering PDF Author: Yanja Dajsuren
Publisher: Springer
ISBN: 3030121577
Category : Computers
Languages : en
Pages : 364

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Book Description
This book presents the state of the art, challenges and future trends in automotive software engineering. The amount of automotive software has grown from just a few lines of code in the 1970s to millions of lines in today’s cars. And this trend seems destined to continue in the years to come, considering all the innovations in electric/hybrid, autonomous, and connected cars. Yet there are also concerns related to onboard software, such as security, robustness, and trust. This book covers all essential aspects of the field. After a general introduction to the topic, it addresses automotive software development, automotive software reuse, E/E architectures and safety, C-ITS and security, and future trends. The specific topics discussed include requirements engineering for embedded software systems, tools and methods used in the automotive industry, software product lines, architectural frameworks, various related ISO standards, functional safety and safety cases, cooperative intelligent transportation systems, autonomous vehicles, and security and privacy issues. The intended audience includes researchers from academia who want to learn what the fundamental challenges are and how they are being tackled in the industry, and practitioners looking for cutting-edge academic findings. Although the book is not written as lecture notes, it can also be used in advanced master’s-level courses on software and system engineering. The book also includes a number of case studies that can be used for student projects.

Safety-Critical Automotive Systems

Safety-Critical Automotive Systems PDF Author: Juan R Pimentel
Publisher: SAE International
ISBN: 076809710X
Category : Technology & Engineering
Languages : en
Pages : 393

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Book Description
Focusing on the vehicle's most important subsystems, this book features an introduction by the editor and 40 SAE technical papers from 2001-2006. The papers are organized in the following sections, which parallel the steps to be followed while building a complete final system: Introduction to Safety-Critical Automotive Systems Safety Process and Standards Requirements, Specifications, and Analysis Architectural and Design Methods and Techniques Prototyping and Target Implementation Testing, Verifications, and Validation Methods

Applied System Identification

Applied System Identification PDF Author: Jer-Nan Juang
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 424

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Book Description
System identification is the process of developing or improving a mathematical representation of a physical system using experimental data. Over the past decade, several system identification techniques have been developed within different disciplines. This text/reference brings together the significant advances over the past decade into a single unified source -- with common mathematical notation that will enable readers from a variety of engineering areas -- e.g., aerospace, electrical, civil, and mechanical engineering --to apply system identification to engineering systems. Focuses on the three types of identification in engineering structures -- modal parameter identification; structural-model parameter identification; and control-model identification. For researchers and engineers, students, and teachers in vibrations, controls and system identification.

Automotive Control

Automotive Control PDF Author: Rolf Isermann
Publisher: Springer
ISBN: 9783642394393
Category : Technology & Engineering
Languages : en
Pages : 643

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Book Description
The introduction of mechatronic components for the powertrain, steering and braking systems opens the way to automatic driving functions. Together with internal and environmental sensors, various driver assistance systems are going to be developed for improving driving comfort and safety. Automatic driving control functions suppose a well-designed vehicle behavior. In order to develop and implement the software-based control functions mathematical vehicle models for the stationary and dynamic behavior are required. The book first introduces basic theoretically derived models for the tire traction and force transfer, the longitudinal, lateral, roll and pitch dynamic behavior and related components, like suspensions, steering systems and brakes. These models have to be tailored to allow an identification of the many unknown parameters during driving, also in dependence of different road conditions, velocity and vehicle load. Based on these mathematical models drive dynamic control systems are developed for semi-active and active suspensions, hydraulic and electromechanical brakes including ABS, traction and steering control. Then driver assistance systems like adaptive cruise control (ACC), electronic stability control (ESC), electronic course control and anti-collision control systems are considered. The anti-collision systems are designed and tested for emergency braking, emergency steering and avoiding of overtaking accidents. The book is dedicated to automotive engineers as well as to graduate students of mechanical, electrical and mechatronic engineering and computer science.

Identification of Dynamic Systems

Identification of Dynamic Systems PDF Author: Rolf Isermann
Publisher: Springer
ISBN: 9783540871552
Category : Technology & Engineering
Languages : en
Pages : 705

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Book Description
Precise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such precise models cannot be derived using theoretical considerations alone. Therefore, they must be determined experimentally. This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification or process identification. Both offline and online methods are presented, i.e. methods that post-process the measured data as well as methods that provide models during the measurement. The book is theory-oriented and application-oriented and most methods covered have been used successfully in practical applications for many different processes. Illustrative examples in this book with real measured data range from hydraulic and electric actuators up to combustion engines. Real experimental data is also provided on the Springer webpage, allowing readers to gather their first experience with the methods presented in this book. Among others, the book covers the following subjects: determination of the non-parametric frequency response, (fast) Fourier transform, correlation analysis, parameter estimation with a focus on the method of Least Squares and modifications, identification of time-variant processes, identification in closed-loop, identification of continuous time processes, and subspace methods. Some methods for nonlinear system identification are also considered, such as the Extended Kalman filter and neural networks. The different methods are compared by using a real three-mass oscillator process, a model of a drive train. For many identification methods, hints for the practical implementation and application are provided. The book is intended to meet the needs of students and practicing engineers working in research and development, design and manufacturing.

Identification for Automotive Systems

Identification for Automotive Systems PDF Author: Daniel Alberer
Publisher: Springer
ISBN: 1447122216
Category : Technology & Engineering
Languages : en
Pages : 359

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Book Description
Increasing complexity and performance and reliability expectations make modeling of automotive system both more difficult and more urgent. Automotive control has slowly evolved from an add-on to classical engine and vehicle design to a key technology to enforce consumption, pollution and safety limits. Modeling, however, is still mainly based on classical methods, even though much progress has been done in the identification community to speed it up and improve it. This book, the product of a workshop of representatives of different communities, offers an insight on how to close the gap and exploit this progress for the next generations of vehicles.

Principles of System Identification

Principles of System Identification PDF Author: Arun K. Tangirala
Publisher: CRC Press
ISBN: 143989602X
Category : Technology & Engineering
Languages : en
Pages : 881

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Book Description
Master Techniques and Successfully Build Models Using a Single Resource Vital to all data-driven or measurement-based process operations, system identification is an interface that is based on observational science, and centers on developing mathematical models from observed data. Principles of System Identification: Theory and Practice is an introductory-level book that presents the basic foundations and underlying methods relevant to system identification. The overall scope of the book focuses on system identification with an emphasis on practice, and concentrates most specifically on discrete-time linear system identification. Useful for Both Theory and Practice The book presents the foundational pillars of identification, namely, the theory of discrete-time LTI systems, the basics of signal processing, the theory of random processes, and estimation theory. It explains the core theoretical concepts of building (linear) dynamic models from experimental data, as well as the experimental and practical aspects of identification. The author offers glimpses of modern developments in this area, and provides numerical and simulation-based examples, case studies, end-of-chapter problems, and other ample references to code for illustration and training. Comprising 26 chapters, and ideal for coursework and self-study, this extensive text: Provides the essential concepts of identification Lays down the foundations of mathematical descriptions of systems, random processes, and estimation in the context of identification Discusses the theory pertaining to non-parametric and parametric models for deterministic-plus-stochastic LTI systems in detail Demonstrates the concepts and methods of identification on different case-studies Presents a gradual development of state-space identification and grey-box modeling Offers an overview of advanced topics of identification namely the linear time-varying (LTV), non-linear, and closed-loop identification Discusses a multivariable approach to identification using the iterative principal component analysis Embeds MATLAB® codes for illustrated examples in the text at the respective points Principles of System Identification: Theory and Practice presents a formal base in LTI deterministic and stochastic systems modeling and estimation theory; it is a one-stop reference for introductory to moderately advanced courses on system identification, as well as introductory courses on stochastic signal processing or time-series analysis.The MATLAB scripts and SIMULINK models used as examples and case studies in the book are also available on the author's website: http://arunkt.wix.com/homepage#!textbook/c397

Automotive Systems Engineering II

Automotive Systems Engineering II PDF Author: Hermann Winner
Publisher: Springer
ISBN: 3319616072
Category : Technology & Engineering
Languages : en
Pages : 196

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Book Description
This book is the second volume reflecting the shift in the design paradigm in automobile industry. It presents contributions to the second and third workshop on Automotive Systems Engineering held in March 2013 and Sept. 2014, respectively. It describes major innovations in the field of driver assistance systems and automated vehicles as well as fundamental changes in the architecture of the vehicles.

Fundamentals of Automotive Technology

Fundamentals of Automotive Technology PDF Author: Vangelder
Publisher: Jones & Bartlett Learning
ISBN: 128410995X
Category : Medical
Languages : en
Pages : 1884

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Book Description
Revised edition of: Fundamentals of automotive maintenance and light repair / Kirk T. VanGelder. 2015.