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Bayesian process monitoring, control and optimization / Bianca M. Colosimo

Public ISBD Titre : Bayesian process monitoring, control and optimization Type de document : texte imprimé Auteurs : Bianca M. Colosimo, Auteur ; Enrique Del Castillo, Auteur Editeur : Boca Raton : Chapman & Hall/CRC Année de publication : 2007 Importance : 336 p. Présentation : couv. ill.,ill. Format : 24,1 cm. ISBN/ISSN/EAN : 978-1-584-88544-3 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : Although there are many Bayesian statistical books that focus on biostatistics and economics, there are few that address the problems faced by engineers. Bayesian Process Monitoring, Control and Optimization resolves this need, showing you how to oversee, adjust, and optimize industrial processes. Bridging the gap between application and development, this reference adopts Bayesian approaches for actual industrial practices. Divided into four parts, it begins with an introduction that discusses inferential problems and presents modern methods in Bayesian computation. The next part explains statistical process control (SPC) and examines both univariate and multivariate process monitoring techniques. Subsequent chapters present Bayesian approaches that can be used for time series data analysis and process control. The contributors include material on the Kalman filter, radar detection, and discrete part manufacturing. The last part focuses on process optimization and illustrates the application of Bayesian regression to sequential optimization, the use of Bayesian techniques for the analysis of saturated designs, and the function of predictive distributions for optimization. Written by international contributors from academia and industry, Bayesian Process Monitoring, Control and Optimization provides up-to-date applications of Bayesian processes for industrial, mechanical, electrical, and quality engineers as well as applied statisticians. Note de contenu : Contents: Part I INTRODUCTION TO BAYESIAN INFERENCE 1 An Introduction to Bayesian Inference in Process Monitoring, Control, and Optimization 2 Modern Numerical Methods in Bayesian Computation Part II PROCESS MONITORING 3 A Bayesian Approach to Statistical Process Control 4 Empirical Bayes Process Monitoring Techniques 5 A Bayesian Approach to Monitoring the Mean of a Multivariate Normal Process 6 Two-Sided Bayesian Control Charts for Short Production Runs 7 Bayes' Rule of Information and Monitoring in Manufacturing Integrated Circuits Part III PROCESS CONTROL AND TIME SERIES ANALYSIS 8 A Bayesian Approach to Signal Analysis of Pulse Trains 9 Bayesian Approaches to Process Monitoring and Process Adjustment Part IV PROCESS OPTIMIZATION AND DESIGNED EXPERIMENTS 10 A Review of Bayesian Reliability Approaches to Multiple Response Surface Optimization 11 An Application of Bayesian Statistics to Sequential Empirical Optimization 12 Bayesian Estimation from Saturated Factorial Designs Index Bayesian process monitoring, control and optimization [texte imprimé] / Bianca M. Colosimo, Auteur ; Enrique Del Castillo, Auteur . - Boca Raton : Chapman & Hall/CRC, 2007 . - 336 p. : couv. ill.,ill. ; 24,1 cm. ISBN : 978-1-584-88544-3 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : Although there are many Bayesian statistical books that focus on biostatistics and economics, there are few that address the problems faced by engineers. Bayesian Process Monitoring, Control and Optimization resolves this need, showing you how to oversee, adjust, and optimize industrial processes. Bridging the gap between application and development, this reference adopts Bayesian approaches for actual industrial practices. Divided into four parts, it begins with an introduction that discusses inferential problems and presents modern methods in Bayesian computation. The next part explains statistical process control (SPC) and examines both univariate and multivariate process monitoring techniques. Subsequent chapters present Bayesian approaches that can be used for time series data analysis and process control. The contributors include material on the Kalman filter, radar detection, and discrete part manufacturing. The last part focuses on process optimization and illustrates the application of Bayesian regression to sequential optimization, the use of Bayesian techniques for the analysis of saturated designs, and the function of predictive distributions for optimization. Written by international contributors from academia and industry, Bayesian Process Monitoring, Control and Optimization provides up-to-date applications of Bayesian processes for industrial, mechanical, electrical, and quality engineers as well as applied statisticians. Note de contenu : Contents: Part I INTRODUCTION TO BAYESIAN INFERENCE 1 An Introduction to Bayesian Inference in Process Monitoring, Control, and Optimization 2 Modern Numerical Methods in Bayesian Computation Part II PROCESS MONITORING 3 A Bayesian Approach to Statistical Process Control 4 Empirical Bayes Process Monitoring Techniques 5 A Bayesian Approach to Monitoring the Mean of a Multivariate Normal Process 6 Two-Sided Bayesian Control Charts for Short Production Runs 7 Bayes' Rule of Information and Monitoring in Manufacturing Integrated Circuits Part III PROCESS CONTROL AND TIME SERIES ANALYSIS 8 A Bayesian Approach to Signal Analysis of Pulse Trains 9 Bayesian Approaches to Process Monitoring and Process Adjustment Part IV PROCESS OPTIMIZATION AND DESIGNED EXPERIMENTS 10 A Review of Bayesian Reliability Approaches to Multiple Response Surface Optimization 11 An Application of Bayesian Statistics to Sequential Empirical Optimization 12 Bayesian Estimation from Saturated Factorial Designs Index

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2658	25-07-79	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	2658

Radar Systems Analysis and Design Using Matlab / Bassem R. Mahafza

Public ISBD Titre : Radar Systems Analysis and Design Using Matlab Type de document : texte imprimé Auteurs : Bassem R. Mahafza, Auteur Mention d'édition : 2nd. ed. Editeur : Boca Raton : Chapman & Hall/CRC Année de publication : 2005 Collection : Electrical Engineering Importance : 637 p. Présentation : couv. ill.,ill. Format : 24,1 cm. ISBN/ISSN/EAN : 978-1-584-88532-0 Langues : Anglais (eng) Catégories : TELECOMMUNICATION Index. décimale : 28-03 Antennes-radars-sonars Résumé : An introduction to radar systems should ideally be self-contained and hands-on, a combination lacking in most radar texts. The first edition of Radar Systems Analysis and Design Using MATLAB provided such an approach, and the second edition continues in the same vein. This edition has been updated, expanded, and reorganized to include advances in the field and to be more logical in sequence. Ideal for a two-semester graduate course in radar system fundamentals and design or for professional reference, and featuring an abundance of MATLAB programs and code, Radar Systems Analysis and Design Using MATLAB, Second Edition presents the fundamentals and principles of radar along with enough rigorous mathematical derivations to ensure that readers gain a deep understanding. The author has extensively revised chapters on radar cross-section and polarization, matched filter and radar ambiguity function, and radar wave propagation. He has added information on topics such as PRN codes, multipath and refraction, clutter and MTI processing, and high range resolution. This authoritative guide: .Offers a self-contained treatment of radar systems, requiring only a background in general electrical engineering .Introduces fundamentals and principles along with mathematical rigor to facilitate comprehension .Includes abundant new material, new end-of-chapter problems, and several extensively revised chapters .Incorporates appendix material into the relevant chapters for more convenient access to valuable information .Furnishes all MATLAB codes and programs found in the text on the CRC Web site With all MATLAB functions updated to reflect version 7.0 and an expanded set of end-of-chapter problems, readers will find this up-to-date text to be the most complete treatment of radar available, providing the hands-on tools that will enrich their learning. Note de contenu : Sommaire Preface Acknowledgment Chapter 1 Radar Fundamentals Chapter 2 Signal Processing Chapter 3 Continuous Wave and Pulsed Radars Chapter 4 Radar Detection Chapter 5 Radar Waveforms Chapter 6 The Matched Filter and the Radar Ambiguity Function Chapter 7 Pulse Compression Chapter 8 Radar Wave Propagation Chapter 9 Clutter and Moving Target Indicator (MTI) Chapter 10 Radar Antennas Chapter 11 Target Tracking Chapter 12 Synthetic Aperture Radar Chapter 13 Radar Cross Section (RCS) Chapter 14 MATLAB Program and Function Name List Bibliography Index Radar Systems Analysis and Design Using Matlab [texte imprimé] / Bassem R. Mahafza, Auteur  . -  2nd. ed. . - Boca Raton : Chapman & Hall/CRC, 2005 . - 637 p. : couv. ill.,ill. ; 24,1 cm.. - (Electrical Engineering) . ISBN : 978-1-584-88532-0 Langues : Anglais (eng) Catégories : TELECOMMUNICATION Index. décimale : 28-03 Antennes-radars-sonars Résumé : An introduction to radar systems should ideally be self-contained and hands-on, a combination lacking in most radar texts. The first edition of Radar Systems Analysis and Design Using MATLAB provided such an approach, and the second edition continues in the same vein. This edition has been updated, expanded, and reorganized to include advances in the field and to be more logical in sequence. Ideal for a two-semester graduate course in radar system fundamentals and design or for professional reference, and featuring an abundance of MATLAB programs and code, Radar Systems Analysis and Design Using MATLAB, Second Edition presents the fundamentals and principles of radar along with enough rigorous mathematical derivations to ensure that readers gain a deep understanding. The author has extensively revised chapters on radar cross-section and polarization, matched filter and radar ambiguity function, and radar wave propagation. He has added information on topics such as PRN codes, multipath and refraction, clutter and MTI processing, and high range resolution. This authoritative guide: .Offers a self-contained treatment of radar systems, requiring only a background in general electrical engineering .Introduces fundamentals and principles along with mathematical rigor to facilitate comprehension .Includes abundant new material, new end-of-chapter problems, and several extensively revised chapters .Incorporates appendix material into the relevant chapters for more convenient access to valuable information .Furnishes all MATLAB codes and programs found in the text on the CRC Web site With all MATLAB functions updated to reflect version 7.0 and an expanded set of end-of-chapter problems, readers will find this up-to-date text to be the most complete treatment of radar available, providing the hands-on tools that will enrich their learning. Note de contenu : Sommaire Preface Acknowledgment Chapter 1 Radar Fundamentals Chapter 2 Signal Processing Chapter 3 Continuous Wave and Pulsed Radars Chapter 4 Radar Detection Chapter 5 Radar Waveforms Chapter 6 The Matched Filter and the Radar Ambiguity Function Chapter 7 Pulse Compression Chapter 8 Radar Wave Propagation Chapter 9 Clutter and Moving Target Indicator (MTI) Chapter 10 Radar Antennas Chapter 11 Target Tracking Chapter 12 Synthetic Aperture Radar Chapter 13 Radar Cross Section (RCS) Chapter 14 MATLAB Program and Function Name List Bibliography Index

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