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Artificial Neural Network Applications in the Calibration of Engines

Artificial Neural Network Applications in the Calibration of Engines Author Richard Fiifi Turkson
ISBN-10 3659956619
Release 2016-11-01
Pages 52
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Computational Intelligence in Automotive Applications

Computational Intelligence in Automotive Applications Author Danil Prokhorov
ISBN-10 9783540792574
Release 2008-05-28
Pages 365
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What is computational intelligence (CI)? Traditionally, CI is understood as a collection of methods from the ?elds of neural networks (NN), fuzzy logic and evolutionary computation. Various de?nitions and opinions exist, but what belongs to CI is still being debated; see, e.g., [1–3]. More recently there has been a proposal to de?ne the CI not in terms of the tools but in terms of challenging problems to be solved [4]. With this edited volume I have made an attempt to give a representative sample of contemporary CI activities in automotive applications to illustrate the state of the art. While CI researchand achievements in some specialized ?elds described (see, e.g., [5, 6]), this is the ?rst volume of its kind dedicated to automotive technology. As if re?ecting the general lack of consensus on what constitutes the ?eld of CI, this volume 1 illustrates automotive applications of not only neural and fuzzy computations which are considered to be the “standard” CI topics, but also others, such as decision trees, graphicalmodels, Support Vector Machines (SVM), multi-agent systems, etc. This book is neither an introductory text, nor a comprehensive overview of all CI research in this area. Hopefully, as a broad and representative sample of CI activities in automotive applications, it will be worth reading for both professionals and students. When the details appear insu?cient, the reader is encouraged to consult other relevant sources provided by the chapter authors.



Using high fidelity simulations and artificial neural networks in calibration and control of high degree of freedom internal combustion engines

Using high fidelity simulations and artificial neural networks in calibration and control of high degree of freedom internal combustion engines Author Bin Wu
ISBN-10 UOM:39015063180262
Release 2006
Pages
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The Control Handbook Second Edition

The Control Handbook  Second Edition Author William S. Levine
ISBN-10 1420073613
Release 2010-12-08
Pages 942
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At publication, The Control Handbook immediately became the definitive resource that engineers working with modern control systems required. Among its many accolades, that first edition was cited by the AAP as the Best Engineering Handbook of 1996. Now, 15 years later, William Levine has once again compiled the most comprehensive and authoritative resource on control engineering. He has fully reorganized the text to reflect the technical advances achieved since the last edition and has expanded its contents to include the multidisciplinary perspective that is making control engineering a critical component in so many fields. Now expanded from one to three volumes, The Control Handbook, Second Edition organizes cutting-edge contributions from more than 200 leading experts. The second volume, Control System Applications, includes 35 entirely new applications organized by subject area. Covering the design and use of control systems, this volume includes applications for: Automobiles, including PEM fuel cells Aerospace Industrial control of machines and processes Biomedical uses, including robotic surgery and drug discovery and development Electronics and communication networks Other applications are included in a section that reflects the multidisciplinary nature of control system work. These include applications for the construction of financial portfolios, earthquake response control for civil structures, quantum estimation and control, and the modeling and control of air conditioning and refrigeration systems. As with the first edition, the new edition not only stands as a record of accomplishment in control engineering but provides researchers with the means to make further advances. Progressively organized, the other two volumes in the set include: Control System Fundamentals Control System Advanced Methods



Adaptive Dynamic Programming for Control

Adaptive Dynamic Programming for Control Author Huaguang Zhang
ISBN-10 9781447147572
Release 2012-12-14
Pages 424
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There are many methods of stable controller design for nonlinear systems. In seeking to go beyond the minimum requirement of stability, Adaptive Dynamic Programming in Discrete Time approaches the challenging topic of optimal control for nonlinear systems using the tools of adaptive dynamic programming (ADP). The range of systems treated is extensive; affine, switched, singularly perturbed and time-delay nonlinear systems are discussed as are the uses of neural networks and techniques of value and policy iteration. The text features three main aspects of ADP in which the methods proposed for stabilization and for tracking and games benefit from the incorporation of optimal control methods: • infinite-horizon control for which the difficulty of solving partial differential Hamilton–Jacobi–Bellman equations directly is overcome, and proof provided that the iterative value function updating sequence converges to the infimum of all the value functions obtained by admissible control law sequences; • finite-horizon control, implemented in discrete-time nonlinear systems showing the reader how to obtain suboptimal control solutions within a fixed number of control steps and with results more easily applied in real systems than those usually gained from infinite-horizon control; • nonlinear games for which a pair of mixed optimal policies are derived for solving games both when the saddle point does not exist, and, when it does, avoiding the existence conditions of the saddle point. Non-zero-sum games are studied in the context of a single network scheme in which policies are obtained guaranteeing system stability and minimizing the individual performance function yielding a Nash equilibrium. In order to make the coverage suitable for the student as well as for the expert reader, Adaptive Dynamic Programming in Discrete Time: • establishes the fundamental theory involved clearly with each chapter devoted to a clearly identifiable control paradigm; • demonstrates convergence proofs of the ADP algorithms to deepen understanding of the derivation of stability and convergence with the iterative computational methods used; and • shows how ADP methods can be put to use both in simulation and in real applications. This text will be of considerable interest to researchers interested in optimal control and its applications in operations research, applied mathematics computational intelligence and engineering. Graduate students working in control and operations research will also find the ideas presented here to be a source of powerful methods for furthering their study.



Neural Network Control and Its Application to Automotive Engine Control

Neural Network Control and Its Application to Automotive Engine Control Author Li-Wen Chen
ISBN-10 UCAL:C3389191
Release 1995
Pages 250
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Success and Failures of Knowledge based Systems in Real world Applications

Success and Failures of Knowledge based Systems in Real world Applications Author Dentcho Batanov
ISBN-10 UOM:39015041077846
Release 1996
Pages 235
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Success and Failures of Knowledge based Systems in Real world Applications has been writing in one form or another for most of life. You can find so many inspiration from Success and Failures of Knowledge based Systems in Real world Applications also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Success and Failures of Knowledge based Systems in Real world Applications book for free.



Design of Experiments Approach for Implementation and Calibration of an OBD II Compliant EGR Monitor Using a Transient Diesel Engine Test Cell

Design of Experiments Approach for Implementation and Calibration of an OBD II Compliant EGR Monitor Using a Transient Diesel Engine Test Cell Author Adam D. Wise
ISBN-10 WISC:89079350518
Release 2001
Pages 284
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Design of Experiments Approach for Implementation and Calibration of an OBD II Compliant EGR Monitor Using a Transient Diesel Engine Test Cell has been writing in one form or another for most of life. You can find so many inspiration from Design of Experiments Approach for Implementation and Calibration of an OBD II Compliant EGR Monitor Using a Transient Diesel Engine Test Cell also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Design of Experiments Approach for Implementation and Calibration of an OBD II Compliant EGR Monitor Using a Transient Diesel Engine Test Cell book for free.



Proceedings of the International Conference on Neural Networks

Proceedings of the International Conference on Neural Networks Author IEEE Neural Networks Council
ISBN-10 UCSD:31822021255716
Release 1996
Pages 2275
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The 1996 IEEE International Conference on Neural Networks

The 1996 IEEE International Conference on Neural Networks Author
ISBN-10 0780332113
Release 1996
Pages 2275
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The 1996 IEEE International Conference on Neural Networks has been writing in one form or another for most of life. You can find so many inspiration from The 1996 IEEE International Conference on Neural Networks also informative, and entertaining. Click DOWNLOAD or Read Online button to get full The 1996 IEEE International Conference on Neural Networks book for free.



Engineering Applications of Neural Networks

Engineering Applications of Neural Networks Author Chrisina Jayne
ISBN-10 9783642329098
Release 2013-04-19
Pages 512
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This book constitutes the refereed proceedings of the 13th International Conference on Engineering Applications of Neural Networks, EANN 2012, held in London, UK, in September 2012. The 49 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of neural networks and other computational intelligence approaches to intelligent transport, environmental engineering, computer security, civil engineering, financial forecasting, virtual learning environments, language interpretation, bioinformatics and general engineering.



AIAA Aerospace Sciences Meeting and Exhibit 42nd

AIAA Aerospace Sciences Meeting and Exhibit  42nd Author
ISBN-10 PSU:000055056670
Release 2004
Pages
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Automotive Engineering International

Automotive Engineering International Author
ISBN-10 UOM:39015047933893
Release 2002
Pages
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Soft Computing Applications in Industry

Soft Computing Applications in Industry Author Bhanu Prasad
ISBN-10 9783540774655
Release 2008-02-13
Pages 385
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Softcomputing techniques play a vital role in the industry. This book presents several important papers presented by some of the well-known scientists from all over the globe. The main techniques of soft computing presented include ant-colony optimization, artificial immune systems, artificial neural networks, Bayesian models. The book includes various examples and application domains such as bioinformatics, detection of phishing attacks, and fault detection of motors.



ECAI 2002

ECAI 2002 Author Frank Van Harmelen
ISBN-10 1586032577
Release 2002-01-01
Pages 750
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This volume contains the 137 papers accepted for presentation at the 15th European Conference on Artificial Intelligence (ECAI '02), which is organized by the European Co-ordination Committee on Artificial Intelligence.



Advances in Internal Combustion Engine Research

Advances in Internal Combustion Engine Research Author Dhananjay Kumar Srivastava
ISBN-10 9789811075759
Release 2017-11-29
Pages 345
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This book discusses all aspects of advanced engine technologies, and describes the role of alternative fuels and solution-based modeling studies in meeting the increasingly higher standards of the automotive industry. By promoting research into more efficient and environment-friendly combustion technologies, it helps enable researchers to develop higher-power engines with lower fuel consumption, emissions, and noise levels. Over the course of 12 chapters, it covers research in areas such as homogeneous charge compression ignition (HCCI) combustion and control strategies, the use of alternative fuels and additives in combination with new combustion technology and novel approaches to recover the pumping loss in the spark ignition engine. The book will serve as a valuable resource for academic researchers and professional automotive engineers alike.



Transient Engine Model for Calibration Using Two stage Regression Approach

Transient Engine Model for Calibration Using Two stage Regression Approach Author Muhammad Alam Z. Khan
ISBN-10 OCLC:809549673
Release 2011
Pages
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Engine mapping is the process of empirically modelling engine behaviour as a function of adjustable engine parameters, predicting the output of the engine. The aim is to calibrate the electronic engine controller to meet decreasing emission requirements and increasing fuel economy demands. Modern engines have an increasing number of control parameters that are having a dramatic impact on time and e ort required to obtain optimal engine calibrations. These are further complicated due to transient engine operating mode. A new model-based transient calibration method has been built on the application of hierarchical statistical modelling methods, and analysis of repeated experiments for the application of engine mapping. The methodology is based on two-stage regression approach, which organise the engine data for the mapping process in sweeps. The introduction of time-dependent covariates in the hierarchy of the modelling led to the development of a new approach for the problem of transient engine calibration. This new approach for transient engine modelling is analysed using a small designed data set for a throttle body inferred air ow phenomenon. The data collection for the model was performed on a transient engine test bed as a part of this work, with sophisticated software and hardware installed on it. Models and their associated experimental design protocols have been identi ed that permits the models capable of accurately predicting the desired response features over the whole region of operability. Further, during the course of the work, the utility of multi-layer perceptron (MLP) neural network based model for the multi-covariate case has been demonstrated. The MLP neural network performs slightly better than the radial basis function (RBF) model. The basis of this comparison is made on assessing relevant model selection criteria, as well as internal and external validation ts. Finally, the general ability of the model was demonstrated through the implementation of this methodology for use in the calibration process, for populating the electronic engine control module lookup tables.