Biomimicry for Optimization, Control, and Automation / Kevin M. Passino

Public ISBD Titre : Biomimicry for Optimization, Control, and Automation Type de document : texte imprimé Auteurs : Kevin M. Passino, Auteur Editeur : London : Springer-Verlag Année de publication : 2005 Importance : 926 p. Présentation : couv. ill. en coul., ill. Format : 24 cm. ISBN/ISSN/EAN : 978-1-85233-804-6 Langues : Anglais (eng) Catégories : AUTOMATISME Mots-clés : Biomimicry  Control  Neural  Optimization  Simulation  algorithms  automation  autonom  genetic algorithms  robot Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : Biomimicry uses our scienti?c understanding of biological systems to exploit ideas from nature in order to construct some technology. In this book, we focus onhowtousebiomimicryof the functionaloperationofthe “hardwareandso- ware” of biological systems for the development of optimization algorithms and feedbackcontrolsystemsthatextendourcapabilitiestoimplementsophisticated levels of automation. The primary focus is not on the modeling, emulation, or analysis of some biological system. The focus is on using “bio-inspiration” to inject new ideas, techniques, and perspective into the engineering of complex automation systems. There are many biological processes that, at some level of abstraction, can berepresentedasoptimizationprocesses,manyofwhichhaveasa basicpurpose automatic control, decision making, or automation. For instance, at the level of everyday experience, we can view the actions of a human operator of some process (e. g. , the driver of a car) as being a series of the best choices he or she makes in trying to achieve some goal (staying on the road); emulation of this decision-making process amounts to modeling a type of biological optimization and decision-making process, and implementation of the resulting algorithm results in “human mimicry” for automation. There are clearer examples of - ological optimization processes that are used for control and automation when you consider nonhuman biological or behavioral processes, or the (internal) - ology of the human and not the resulting external behavioral characteristics (like driving a car). For instance, there are homeostasis processes where, for instance, temperature is regulated in the human body. Note de contenu : Contents Part I: Introduction: 1 Challenges of control and automation (appropriate for non-controls person), 2 scientific foundations of biomimicry. Part II: Elements of Decision-Making: 4 Neural network substrates for control instincts, 5 rule-based control, 6 planning systems, 7 attentional systems (including stability analysis). Part III: Learning: 9 Learning and control (off/on-line approximation perspective, heuristic adaptive control), 10 linear least squares methods (batch and recrusive least squares), 11 gradient methods (e.g. Levenberg-Marquardt), 12 adaptive control (optimization perspective, introduction to stable adaptive control). Part IV: Evolution: 14 The Genetic algorithm, 15 Stochastic and nongradient optimization for design (e.g., pattern search methods, response surface methodology), 16 Evolution and learning: synergistic effects. Part V: Foraging: 18 Cooperative foraging and search (optimization models, swarm stability), 19 competitive and intelligent foraging (game-theoretic formulations, outlook on future of area). -Index Biomimicry for Optimization, Control, and Automation [texte imprimé] / Kevin M. Passino, Auteur . - London : Springer-Verlag, 2005 . - 926 p. : couv. ill. en coul., ill. ; 24 cm. ISBN : 978-1-85233-804-6 Langues : Anglais (eng) Catégories : AUTOMATISME Mots-clés : Biomimicry  Control  Neural  Optimization  Simulation  algorithms  automation  autonom  genetic algorithms  robot Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : Biomimicry uses our scienti?c understanding of biological systems to exploit ideas from nature in order to construct some technology. In this book, we focus onhowtousebiomimicryof the functionaloperationofthe “hardwareandso- ware” of biological systems for the development of optimization algorithms and feedbackcontrolsystemsthatextendourcapabilitiestoimplementsophisticated levels of automation. The primary focus is not on the modeling, emulation, or analysis of some biological system. The focus is on using “bio-inspiration” to inject new ideas, techniques, and perspective into the engineering of complex automation systems. There are many biological processes that, at some level of abstraction, can berepresentedasoptimizationprocesses,manyofwhichhaveasa basicpurpose automatic control, decision making, or automation. For instance, at the level of everyday experience, we can view the actions of a human operator of some process (e. g. , the driver of a car) as being a series of the best choices he or she makes in trying to achieve some goal (staying on the road); emulation of this decision-making process amounts to modeling a type of biological optimization and decision-making process, and implementation of the resulting algorithm results in “human mimicry” for automation. There are clearer examples of - ological optimization processes that are used for control and automation when you consider nonhuman biological or behavioral processes, or the (internal) - ology of the human and not the resulting external behavioral characteristics (like driving a car). For instance, there are homeostasis processes where, for instance, temperature is regulated in the human body. Note de contenu : Contents Part I: Introduction: 1 Challenges of control and automation (appropriate for non-controls person), 2 scientific foundations of biomimicry. Part II: Elements of Decision-Making: 4 Neural network substrates for control instincts, 5 rule-based control, 6 planning systems, 7 attentional systems (including stability analysis). Part III: Learning: 9 Learning and control (off/on-line approximation perspective, heuristic adaptive control), 10 linear least squares methods (batch and recrusive least squares), 11 gradient methods (e.g. Levenberg-Marquardt), 12 adaptive control (optimization perspective, introduction to stable adaptive control). Part IV: Evolution: 14 The Genetic algorithm, 15 Stochastic and nongradient optimization for design (e.g., pattern search methods, response surface methodology), 16 Evolution and learning: synergistic effects. Part V: Foraging: 18 Cooperative foraging and search (optimization models, swarm stability), 19 competitive and intelligent foraging (game-theoretic formulations, outlook on future of area). -Index

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Control of Fuel Cell Power Systems / Jay T. Pukrushpan

Public ISBD Titre : Control of Fuel Cell Power Systems : principles, modeling, analysis and feedback design Type de document : texte imprimé Auteurs : Jay T. Pukrushpan, Auteur ; Anna G. Stefanopoulou, Auteur ; Huei Peng, Auteur Editeur : London : Springer-Verlag Année de publication : 2005 Collection : Advances in Industrial Control Importance : 161 p. Présentation : couv. ill. en coul., ill. Format : 24,1 cm. ISBN/ISSN/EAN : 978-1-85233-816-9 Langues : Anglais (eng) Catégories : LES ÉNERGIES Index. décimale : 21-03 Le pétrole Résumé : The problem of greenhouse gas (particularly carbon dioxide) release during power generation in fixed and mobile systems is widely acknowledged. Fuel cells are electrochemical devices offering clean and efficient energy production by the direct conversion of gaseous fuel into electricity. As such, they are under active study for commercial stationary power generation, residential applications and in transportation. The control of fuel cell systems under a variety of environmental conditions and over a wide operating range is a crucial factor in making them viable for extensive use in every-day technology. - An overview of the underlying physical principles and the main control objectives and difficulties associated with the implementation of fuel cell systems. - System-level dynamic models derived from the physical principles of the processes involved - Formulation, in-depth analysis and detailed control design for two critical control problems, namely, the control of the cathode oxygen supply for a high-pressure direct hydrogen fuel cell system and control of the anode hydrogen supply from a natural gas fuel processor system. - Multivariable controllers that attenuate restraints resulting from lack of sensor fidelity or actuator authority. - Real-time observers for stack variables that confer redundancy in fault detection processes. - Examples of the assistance of control analysis in fuel cell redesign and performance improvement. - Downloadable SIMULINK(R) model of a fuel cell for immediate use supplemented by sample MATLAB(R) files with which to run it and reproduce some of the book plots Primarily intended for researchers and students with a control background looking to expand their knowledge of fuel cell technology, Control of Fuel Cell Power Systems will also appeal to practicing fuel cell engineers through the simplicity of its models and the application of control algorithms in concrete case studies. The thorough coverage of control design will be of benefit to scientists dealing with the electrochemical, materials and fluid-dynamic aspects of fuel cells. Note de contenu : Table of Contents 1 Background and Introduction. - 2 Fuel Cell System Model: Auxiliary Components. - 3 Fuel Cell System Model: Fuel Cell Stack. - 4 Fuel Cell System Model: Analysis and Simulation. - 5 Air Flow Control for Fuel Cell Cathode Oxygen Reactant. - 6 Natural Gas Fuel Processor System Model. - 7 Control of Natural Gas Fuel Processor. - 8 Closing Remarks. - A Miscellaneous Equations, Tables, and Figures. - A.1 FCS Air Flow Control Design. - A.2 FPS Control Design. - References. Control of Fuel Cell Power Systems : principles, modeling, analysis and feedback design [texte imprimé] / Jay T. Pukrushpan, Auteur ; Anna G. Stefanopoulou, Auteur ; Huei Peng, Auteur . - London : Springer-Verlag, 2005 . - 161 p. : couv. ill. en coul., ill. ; 24,1 cm.. - (Advances in Industrial Control) . ISBN : 978-1-85233-816-9 Langues : Anglais (eng) Catégories : LES ÉNERGIES Index. décimale : 21-03 Le pétrole Résumé : The problem of greenhouse gas (particularly carbon dioxide) release during power generation in fixed and mobile systems is widely acknowledged. Fuel cells are electrochemical devices offering clean and efficient energy production by the direct conversion of gaseous fuel into electricity. As such, they are under active study for commercial stationary power generation, residential applications and in transportation. The control of fuel cell systems under a variety of environmental conditions and over a wide operating range is a crucial factor in making them viable for extensive use in every-day technology. - An overview of the underlying physical principles and the main control objectives and difficulties associated with the implementation of fuel cell systems. - System-level dynamic models derived from the physical principles of the processes involved - Formulation, in-depth analysis and detailed control design for two critical control problems, namely, the control of the cathode oxygen supply for a high-pressure direct hydrogen fuel cell system and control of the anode hydrogen supply from a natural gas fuel processor system. - Multivariable controllers that attenuate restraints resulting from lack of sensor fidelity or actuator authority. - Real-time observers for stack variables that confer redundancy in fault detection processes. - Examples of the assistance of control analysis in fuel cell redesign and performance improvement. - Downloadable SIMULINK(R) model of a fuel cell for immediate use supplemented by sample MATLAB(R) files with which to run it and reproduce some of the book plots Primarily intended for researchers and students with a control background looking to expand their knowledge of fuel cell technology, Control of Fuel Cell Power Systems will also appeal to practicing fuel cell engineers through the simplicity of its models and the application of control algorithms in concrete case studies. The thorough coverage of control design will be of benefit to scientists dealing with the electrochemical, materials and fluid-dynamic aspects of fuel cells. Note de contenu : Table of Contents 1 Background and Introduction. - 2 Fuel Cell System Model: Auxiliary Components. - 3 Fuel Cell System Model: Fuel Cell Stack. - 4 Fuel Cell System Model: Analysis and Simulation. - 5 Air Flow Control for Fuel Cell Cathode Oxygen Reactant. - 6 Natural Gas Fuel Processor System Model. - 7 Control of Natural Gas Fuel Processor. - 8 Closing Remarks. - A Miscellaneous Equations, Tables, and Figures. - A.1 FCS Air Flow Control Design. - A.2 FPS Control Design. - References.

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Digital Self-Tuning Controllers / V. Bobal

Public ISBD Titre : Digital Self-Tuning Controllers : Algorithms, implementation and applications Type de document : texte imprimé Auteurs : V. Bobal, Auteur ; J. Böhm, Auteur ; J. Fessl, Auteur Editeur : London : Springer-Verlag Année de publication : 2005 Collection : Advanced Textbooks in Control and Signal Processing Importance : 317 p. Présentation : couv. ill. en coul., ill. Format : 23,5 cm. ISBN/ISSN/EAN : 978-1-85233-980-7 Langues : Français (fre) Catégories : AUTOMATISME Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : Digital Self-tuning Controllers presents you with a complete course in self-tuning control, beginning with a survey of adaptive control and the formulation of adaptive control problems. Modelling and identification are dealt with before passing on to algebraic design methods and particular PID and linear-quadratic forms of self-tuning control. Finally, laboratory verification and experimentation will show you how to ground your theoretical knowledge in real plant control. Features: comprehensive coverage providing everything a student needs to know about self-tuning control from literature survey to the control of an experimental heat exchanger; a strong emphasis on practical problem solving with control algorithms clearly laid out in easy-to-follow formulae, code listings or made directly available as MATLAB® functions making the book particularly suitable as an aid to project work; specially written MATLAB® toolboxes convenient for the presentation of typical control system and plant properties and ready for use in direct control of real or simulated plants available from springeronline.com; worked examples and tutorial exercises to guide you through the learning process. Digital Self-tuning Controllers comprises an invaluable course with which graduate students and advanced undergraduates can learn how to overcome the significant problems of putting the powerful tools of adaptive control theory into practice. The text will also be of much interest to control engineers wishing to employ the ideas of adaptive control in their designs and plant. Note de contenu : Sommaire 1 Introduction 2 Adaptive Control Systems 3 Process Modelling and Identification for Use in Self-tuning Controllers 4 Self-tuning PID Controllers 5 Algebraic Methods for Self-tuning Controller Design 6 Self-tuning Linear Quadratic Controllers 7 Computer-aided Design for Self-tuning Controllers 8 Application of Self-tuning Controllers Digital Self-Tuning Controllers : Algorithms, implementation and applications [texte imprimé] / V. Bobal, Auteur ; J. Böhm, Auteur ; J. Fessl, Auteur . - London : Springer-Verlag, 2005 . - 317 p. : couv. ill. en coul., ill. ; 23,5 cm.. - (Advanced Textbooks in Control and Signal Processing) . ISBN : 978-1-85233-980-7 Langues : Français (fre) Catégories : AUTOMATISME Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : Digital Self-tuning Controllers presents you with a complete course in self-tuning control, beginning with a survey of adaptive control and the formulation of adaptive control problems. Modelling and identification are dealt with before passing on to algebraic design methods and particular PID and linear-quadratic forms of self-tuning control. Finally, laboratory verification and experimentation will show you how to ground your theoretical knowledge in real plant control. Features: comprehensive coverage providing everything a student needs to know about self-tuning control from literature survey to the control of an experimental heat exchanger; a strong emphasis on practical problem solving with control algorithms clearly laid out in easy-to-follow formulae, code listings or made directly available as MATLAB® functions making the book particularly suitable as an aid to project work; specially written MATLAB® toolboxes convenient for the presentation of typical control system and plant properties and ready for use in direct control of real or simulated plants available from springeronline.com; worked examples and tutorial exercises to guide you through the learning process. Digital Self-tuning Controllers comprises an invaluable course with which graduate students and advanced undergraduates can learn how to overcome the significant problems of putting the powerful tools of adaptive control theory into practice. The text will also be of much interest to control engineers wishing to employ the ideas of adaptive control in their designs and plant. Note de contenu : Sommaire 1 Introduction 2 Adaptive Control Systems 3 Process Modelling and Identification for Use in Self-tuning Controllers 4 Self-tuning PID Controllers 5 Algebraic Methods for Self-tuning Controller Design 6 Self-tuning Linear Quadratic Controllers 7 Computer-aided Design for Self-tuning Controllers 8 Application of Self-tuning Controllers

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Eye Tracking Methodology / Andrew T. Duchowski

Public ISBD Titre : Eye Tracking Methodology : theory and practice Type de document : texte imprimé Auteurs : Andrew T. Duchowski, Auteur Editeur : London : Springer-Verlag Année de publication : 2003 Importance : 251 p. Présentation : couv. ill. en coul., ill. Format : 23.4 cm ISBN/ISSN/EAN : 978-1-85233-666-0 Langues : Français (fre) Catégories : AUTOMATISME Index. décimale : 25-02 Théorie et traitement du signal Résumé : Despite the availability of cheap, fast, accurate and usable eye trackers, there is little information available on how to develop, implement and use these systems. This book aims to fill that gap in the market by providing an accessible introduction for practitioners and students. The first part of the book covers useful background information, including an introduction to the human visual system and key issues in visual perception and eye movement. The second part surveys eye-tracking devices and gives a detailed introduction to the technical requirements for installing a system and developing an application program. It focuses on video-based, corneal-reflection eye trackers - the most widely available and affordable type of system. The final part looks at a number of interesting and challenging applications in areas such as Human Factors, Collaborative Systems, Virtual Reality, Marketing and Advertising. Eye Tracking Methodology: Theory and Practice will be an invaluable guide for practitioners responsible for developing or implementing an eye tracking system. It will also be an invaluable teaching text for relevant modules on advanced undergraduate and postgraduate courses such as Computer Vision, Cognition, HCI and Usability. Note de contenu : Contents Part I. Introduction to the Human Visual System (HVS) Visual Attention Neurological Substrate of the HVS Visual Psychophysics Taxonomy and Models of Eye Movements Part II. Eye Tracking Systems Eye Tracking Techniques System Hardware Installation System Software Development System Calibration Eye Movement Analysis Part III. Eye Tracking Applications Diversity and Types of Eye Tracking Applications Neuroscience and Psychology Industrial Engineering and Human Factors Marketing/Advertising Computer Science Conclusion -Index Eye Tracking Methodology : theory and practice [texte imprimé] / Andrew T. Duchowski, Auteur . - London : Springer-Verlag, 2003 . - 251 p. : couv. ill. en coul., ill. ; 23.4 cm. ISBN : 978-1-85233-666-0 Langues : Français (fre) Catégories : AUTOMATISME Index. décimale : 25-02 Théorie et traitement du signal Résumé : Despite the availability of cheap, fast, accurate and usable eye trackers, there is little information available on how to develop, implement and use these systems. This book aims to fill that gap in the market by providing an accessible introduction for practitioners and students. The first part of the book covers useful background information, including an introduction to the human visual system and key issues in visual perception and eye movement. The second part surveys eye-tracking devices and gives a detailed introduction to the technical requirements for installing a system and developing an application program. It focuses on video-based, corneal-reflection eye trackers - the most widely available and affordable type of system. The final part looks at a number of interesting and challenging applications in areas such as Human Factors, Collaborative Systems, Virtual Reality, Marketing and Advertising. Eye Tracking Methodology: Theory and Practice will be an invaluable guide for practitioners responsible for developing or implementing an eye tracking system. It will also be an invaluable teaching text for relevant modules on advanced undergraduate and postgraduate courses such as Computer Vision, Cognition, HCI and Usability. Note de contenu : Contents Part I. Introduction to the Human Visual System (HVS) Visual Attention Neurological Substrate of the HVS Visual Psychophysics Taxonomy and Models of Eye Movements Part II. Eye Tracking Systems Eye Tracking Techniques System Hardware Installation System Software Development System Calibration Eye Movement Analysis Part III. Eye Tracking Applications Diversity and Types of Eye Tracking Applications Neuroscience and Psychology Industrial Engineering and Human Factors Marketing/Advertising Computer Science Conclusion -Index

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Handbook of Data Compression / David Salomon

Public ISBD Titre : Handbook of Data Compression Type de document : texte imprimé Auteurs : David Salomon, Auteur ; Giovanni Motta, Auteur Mention d'édition : 5 th. ed. Editeur : London : Springer-Verlag Année de publication : 2010 Importance : 1359 p. Présentation : couv. ill.,ill. Format : 26,6 cm. ISBN/ISSN/EAN : 978-1-84882-902-2 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-01 Logique combinatoire et séquentielle Résumé : Data compression is such an important tool in modern computing that some researchers even suggest that all computing is compression! This comprehensive fifth edition of David Salomon s highly successful reference, Data Compression, now fully reconceived under its new title, Handbook of Data Compression, is thoroughly updated with the latest progress in the field. This all-inclusive and user-friendly reference work discusses the wide range of compression methods for text, graphical data (still images and movies), and audio. Among the important features of this accessible reference are a detailed index and helpful glossary, an extensive bibliography, an appendix presenting and explaining the basic concepts and terms in information theory, liberal use of illustrations and data tables, and broad coverage discussing the use and comparative benefits of different methods. The book s logical, clear and lively presentation is organized around the main branches of data compression, for ease in usage. This meticulously enhanced, reliable handbook is an essential companion for all computer scientists; computer, electrical and signal/image processing engineers; and scientists needing a comprehensive compilation of compression methods. It requires only a minimum of mathematics and is well-suited to nonspecialists and general readers who need to know and use this valuable content. Note de contenu : Contents Introduction 1 Basic Techniques 2 Basic VL Codes 3 Advanced VL Codes 4 Robust VL Codes 5 Statistical Methods 6 Dictionary Methods 7 Image Compression 8 Wavelet Methods 9 Video Compression 10 Audio Compression 11 Other Methods Appendix A Information Theory Answers to Exercises Bibliography Index Handbook of Data Compression [texte imprimé] / David Salomon, Auteur ; Giovanni Motta, Auteur  . -  5 th. ed. . - London : Springer-Verlag, 2010 . - 1359 p. : couv. ill.,ill. ; 26,6 cm. ISBN : 978-1-84882-902-2 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-01 Logique combinatoire et séquentielle Résumé : Data compression is such an important tool in modern computing that some researchers even suggest that all computing is compression! This comprehensive fifth edition of David Salomon s highly successful reference, Data Compression, now fully reconceived under its new title, Handbook of Data Compression, is thoroughly updated with the latest progress in the field. This all-inclusive and user-friendly reference work discusses the wide range of compression methods for text, graphical data (still images and movies), and audio. Among the important features of this accessible reference are a detailed index and helpful glossary, an extensive bibliography, an appendix presenting and explaining the basic concepts and terms in information theory, liberal use of illustrations and data tables, and broad coverage discussing the use and comparative benefits of different methods. The book s logical, clear and lively presentation is organized around the main branches of data compression, for ease in usage. This meticulously enhanced, reliable handbook is an essential companion for all computer scientists; computer, electrical and signal/image processing engineers; and scientists needing a comprehensive compilation of compression methods. It requires only a minimum of mathematics and is well-suited to nonspecialists and general readers who need to know and use this valuable content. Note de contenu : Contents Introduction 1 Basic Techniques 2 Basic VL Codes 3 Advanced VL Codes 4 Robust VL Codes 5 Statistical Methods 6 Dictionary Methods 7 Image Compression 8 Wavelet Methods 9 Video Compression 10 Audio Compression 11 Other Methods Appendix A Information Theory Answers to Exercises Bibliography Index

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Intelligent Control Systems with LabVIEW™ / Pedro Ponce-Cruz

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Introduction to Computer Graphics / Frank Klawonn

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Mechanisms And Robots Analysis With Matlab / Dan B. Marghitu

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Model Predictive Control / E.F. Camacho

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Modelling and control of mini-flying machines / Pedro Castillo

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Multivariable Control Systems / P. Albertos

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Parallel Computing for Real-time Signal Processing and Control / M.O. Tokhi

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PID Control / Michel A. Johnson

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Programming Mobile Robots with Aria and Player A Guide to C Object-Oriented Control / Amanda Whitbrook

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Progress in Pattern Recognition / Sameer Singh

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