Co-design approaches to dependable networked control systems [[electronic resource] /] / edited by Christophe Aubrun, Daniel Simon, Ye-Qiong Song |
Edizione | [1st edition] |
Pubbl/distr/stampa | London, : ISTE |
Descrizione fisica | 1 online resource (330 p.) |
Disciplina | 629.8/3 |
Altri autori (Persone) |
AubrunChristophe
SimonDaniel <1954-> SongYe-Qiong |
Collana | ISTE |
Soggetto topico |
Feedback control systems - Reliability
Feedback control systems - Design and construction Sensor networks - Reliability Sensor networks - Design and construction |
ISBN |
1-118-62066-6
1-118-55767-0 1-299-31554-2 1-118-62070-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright Page; Table of Contents; Foreword; Introduction and Problem Statement; I.1. Networked control systems and control design challenges; I.2. Control design: from continuous time to networked implementation; I.3. Timing parameter assignment; I.4. Control and task/message scheduling; I.5. Diagnosis and fault tolerance in NCS; I.6. Co-design approaches; I.7. Outline of the book; I.8. Bibliography; Chapter 1. Preliminary Notions and State of the Art; 1.1.Overview; 1.2. Preliminary notions on real-time scheduling; 1.2.1. Some basic results on classic task model scheduling
1.2.1.1. Fixed priority scheduling1.2.1.2. EDF scheduling; 1.2.1.3. Discussion; 1.2.2. (m,k)-firm model; 1.3. Control aware computing; 1.3.1. Off-line approaches; 1.3.2. Quality of Service and flexible scheduling; 1.4. Feedback-scheduling basics; 1.4.1. Control of the computing resource; 1.4.1.1.Control structure; 1.4.1.2. Sensors and actuators; 1.4.1.3.Control design and implementation; 1.4.2.Examples; 1.4.2.1. Feedback scheduling a web server; 1.4.2.2. Optimal control-based feedback scheduling; 1.4.2.3. Feasibility: feedback-scheduler implementation for robot control 1.5. Fault diagnosis of NCS with network-induced effects1.5.1. Fault diagnosis of NCS with network-induced time delays; 1.5.1.1. Low-pass post-filtering; 1.5.1.2. Structure matrix of network-induced time delay; 1.5.1.3. Robust deadbeat fault filter; 1.5.1.4. Other work; 1.5.2. Fault diagnosis of NCS with packet losses; 1.5.2.1. Deterministic packet losses; 1.5.2.2. Stochastic packet losses; 1.5.3. Fault diagnosis of NCS with limited communication; 1.5.4. Fault-tolerant control of NCS; 1.6. Summary; 1.7. Bibliography; Chapter 2. Computing-aware Control; 2.1. Overview 2.2. Robust control w.r.t. computing and networking-induced latencies2.2.1. Introduction; 2.2.2. What happens when delays appear?; 2.2.2.1. Initial conditions; 2.2.2.2. Infinite dimensional systems; 2.2.3. Delay models; 2.2.4. Stability analysis of TDS using Lyapunov theory; 2.2.4.1. The second method; 2.2.4.2. The Lyapunov-Razumikhin approach; 2.2.4.3. The Lyapunov-Krasovskii approach; 2.2.5. Summary: time-delay systems and networking; 2.3. Weakly hard constraints; 2.3.1. Problem definition; 2.3.2. Notion of accelerable control; 2.3.3. Design of accelerable controllers 3.2.1. Context of the study |
Record Nr. | UNINA-9910139244003321 |
London, : ISTE | ||
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Lo trovi qui: Univ. Federico II | ||
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Co-design approaches to dependable networked control systems [[electronic resource] /] / edited by Christophe Aubrun, Daniel Simon, Ye-Qiong Song |
Edizione | [1st edition] |
Pubbl/distr/stampa | London, : ISTE |
Descrizione fisica | 1 online resource (330 p.) |
Disciplina | 629.8/3 |
Altri autori (Persone) |
AubrunChristophe
SimonDaniel <1954-> SongYe-Qiong |
Collana | ISTE |
Soggetto topico |
Feedback control systems - Reliability
Feedback control systems - Design and construction Sensor networks - Reliability Sensor networks - Design and construction |
ISBN |
1-118-62066-6
1-118-55767-0 1-299-31554-2 1-118-62070-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright Page; Table of Contents; Foreword; Introduction and Problem Statement; I.1. Networked control systems and control design challenges; I.2. Control design: from continuous time to networked implementation; I.3. Timing parameter assignment; I.4. Control and task/message scheduling; I.5. Diagnosis and fault tolerance in NCS; I.6. Co-design approaches; I.7. Outline of the book; I.8. Bibliography; Chapter 1. Preliminary Notions and State of the Art; 1.1.Overview; 1.2. Preliminary notions on real-time scheduling; 1.2.1. Some basic results on classic task model scheduling
1.2.1.1. Fixed priority scheduling1.2.1.2. EDF scheduling; 1.2.1.3. Discussion; 1.2.2. (m,k)-firm model; 1.3. Control aware computing; 1.3.1. Off-line approaches; 1.3.2. Quality of Service and flexible scheduling; 1.4. Feedback-scheduling basics; 1.4.1. Control of the computing resource; 1.4.1.1.Control structure; 1.4.1.2. Sensors and actuators; 1.4.1.3.Control design and implementation; 1.4.2.Examples; 1.4.2.1. Feedback scheduling a web server; 1.4.2.2. Optimal control-based feedback scheduling; 1.4.2.3. Feasibility: feedback-scheduler implementation for robot control 1.5. Fault diagnosis of NCS with network-induced effects1.5.1. Fault diagnosis of NCS with network-induced time delays; 1.5.1.1. Low-pass post-filtering; 1.5.1.2. Structure matrix of network-induced time delay; 1.5.1.3. Robust deadbeat fault filter; 1.5.1.4. Other work; 1.5.2. Fault diagnosis of NCS with packet losses; 1.5.2.1. Deterministic packet losses; 1.5.2.2. Stochastic packet losses; 1.5.3. Fault diagnosis of NCS with limited communication; 1.5.4. Fault-tolerant control of NCS; 1.6. Summary; 1.7. Bibliography; Chapter 2. Computing-aware Control; 2.1. Overview 2.2. Robust control w.r.t. computing and networking-induced latencies2.2.1. Introduction; 2.2.2. What happens when delays appear?; 2.2.2.1. Initial conditions; 2.2.2.2. Infinite dimensional systems; 2.2.3. Delay models; 2.2.4. Stability analysis of TDS using Lyapunov theory; 2.2.4.1. The second method; 2.2.4.2. The Lyapunov-Razumikhin approach; 2.2.4.3. The Lyapunov-Krasovskii approach; 2.2.5. Summary: time-delay systems and networking; 2.3. Weakly hard constraints; 2.3.1. Problem definition; 2.3.2. Notion of accelerable control; 2.3.3. Design of accelerable controllers 3.2.1. Context of the study |
Record Nr. | UNINA-9910820780703321 |
London, : ISTE | ||
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Lo trovi qui: Univ. Federico II | ||
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Distributed sensor systems : practice and applications / / Habib F. Rashvand, Jose M. Alcaraz Calero |
Autore | Rashvand Habib F. |
Edizione | [1st edition] |
Pubbl/distr/stampa | Chichester, West Sussex : , : Wiley, , c2012 |
Descrizione fisica | 1 online resource (379 p.) |
Disciplina | 681/.2 |
Altri autori (Persone) | Alcaraz CaleroJose M |
Soggetto topico |
Sensor networks - Design and construction
Sensor networks - Industrial applications |
ISBN |
1-119-94198-9
1-280-58909-4 9786613618924 1-119-94135-0 1-119-94134-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
List of Figures xi -- List of Tables xxi -- Preface xxiii -- Acknowledgements xxvii -- List of Abbreviations xxix -- 1 Distributed Sensors 1 -- 1.1 Primary Objectives 1 -- 1.1.1 User-Based Category 2 -- 1.1.2 Sector-Based Category 5 -- 1.1.3 Primary Objectives 5 -- 1.2 Historical Development 8 -- 1.2.1 Sensing 8 -- 1.2.2 Historical Sensor Generations 8 -- 1.3 Trends and Technology 10 -- 1.3.1 Market Development Trends 10 -- 1.3.2 Technological Developments 12 -- 1.4 Distributed Intelligence 15 -- 1.4.1 Innovation 16 -- 1.4.2 Dis-Invention 19 -- 1.4.3 Intelligent Agent 19 -- 1.4.4 Deployment Factor 20 -- 1.4.5 Overlay Network 21 -- 1.4.6 Deployment Algorithm 21 -- 1.5 Classifying Application Areas 25 -- 1.5.1 Domain-Based Classification 26 -- 1.5.2 Mobility-Based Classification 26 -- 1.5.3 Intelligence-Based Classification 27 -- 2 Smart Sensing Devices 31 -- 2.1 Specification and Classification 31 -- 2.2 Elementary Sensing Circuits and Devices 36 -- 2.2.1 Elementary Electrical Sensors 37 -- 2.2.2 Low Energy Integration 39 -- 2.3 Actuator Interface Structures 41 -- 2.4 Physical Phenomena Sensing Devices 45 -- 2.4.1 Optical Sensors 45 -- 2.4.2 Image Sensing 46 -- 2.5 Biological and Chemical Phenomena Sensing Devices 48 -- 2.6 Other Sensors and Actuators 54 -- 3 Smart Sensing Architectures 59 -- 3.1 Smart Sensor Nodes 60 -- 3.1.1 Hardware 62 -- 3.1.2 Software 62 -- 3.2 Embedded Operating Systems 67 -- 3.3 Network Formation 70 -- 3.3.1 Node Placement 76 -- 3.4 Networking Protocols 77 -- 3.4.1 Location-Based Protocols 79 -- 3.4.2 Data-Centric Protocols 83 -- 3.4.3 Hierarchical Routing 86 -- 3.4.4 Mobility-Based Routing Protocols 90 -- 3.4.5 Other Routing Protocols 93 -- 3.5 Cross-Layer Optimisation 95 -- 3.6 Inference and Aggregation 99 -- 3.7 Case Study: Smart Camera Networks 103 -- 3.8 Case Study: Collaborative Beamforming 107 -- 4 Monitoring Well Being 115 -- 4.1 Measuring Health 116 -- 4.2 Managing Chronic Diseases 125 -- 4.3 Case Study: Smart Shirts 132 -- 4.4 Case Study: Geriatric Care 136.
4.5 Case Study: Outpatient Care 141 -- 5 Clinical Applications 149 -- 5.1 Surgical Applications 150 -- 5.2 Dental Applications 161 -- 5.3 Scalp Applications 165 -- 5.4 Post-Operative Applications 171 -- 5.5 Emergency Case Studies 181 -- 6 Smart Home, Smart Office 189 -- 6.1 Application Requirements 190 -- 6.2 Energy and Resource Optimisation 198 -- 6.3 Smart Home Case Studies 203 -- 6.4 Smart Office Case Studies 212 -- 7 Public Safety Applications 221 -- 7.1 Monitoring Airborne Toxins 223 -- 7.2 Monitoring Forest Fires 228 -- 7.3 Monitoring Structural Health 233 -- 7.4 Monitoring Traffic 242 -- 7.5 Case Study: Sink Location 250 -- 7.6 Case Study: Congestion Avoidance 254 -- 7.7 Case Study: Target Tracking and Surveillance 257 -- 8 Geographical Applications 261 -- 8.1 Farming Industry 261 -- 8.2 Mining Industry 270 -- 8.3 Transportation 274 -- 8.4 Remote Sensing and Imaging 279 -- 8.5 Earth Resources Observation 282 -- 8.6 Underwater Sensing 287 -- Appendix A Further Details on Potential Devices and Systems 293 -- A.1 Accelerometers 293 -- A.2 Equipment 295 -- A.2.1 Tomography 296 -- A.2.2 Gadgets 300 -- A.3 Smart Sensors Devices 302 -- A.3.1 Mica2 and Mica2Dot 302 -- A.3.2 MicaZ 307 -- A.3.3 Telos and TMote Sky 308 -- A.3.4 Fleck3 and FleckNano 310 -- A.3.5 3Mate! 312 -- A.3.6 IMote 2 312 -- A.3.7 System-on-Chip CC2510 313 -- A.3.8 System-on-Chip CC2530 314 -- A.4 Networks and Protocols 315 -- A.4.1 ZigBee 315 -- A.4.2 RFID and Wireless Sensor Integration 318 -- A.4.3 Wireless Sensors for Industrial Environments 319 -- A.5 Systems 321 -- References 325 -- Index 337. |
Record Nr. | UNINA-9910141347803321 |
Rashvand Habib F.
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||
Chichester, West Sussex : , : Wiley, , c2012 | ||
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Lo trovi qui: Univ. Federico II | ||
|
Distributed sensor systems : practice and applications / / Habib F. Rashvand, Jose M. Alcaraz Calero |
Autore | Rashvand Habib F. |
Edizione | [1st edition] |
Pubbl/distr/stampa | Chichester, West Sussex : , : Wiley, , c2012 |
Descrizione fisica | 1 online resource (379 p.) |
Disciplina | 681/.2 |
Altri autori (Persone) | Alcaraz CaleroJose M |
Soggetto topico |
Sensor networks - Design and construction
Sensor networks - Industrial applications |
ISBN |
1-119-94198-9
1-280-58909-4 9786613618924 1-119-94135-0 1-119-94134-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
List of Figures xi -- List of Tables xxi -- Preface xxiii -- Acknowledgements xxvii -- List of Abbreviations xxix -- 1 Distributed Sensors 1 -- 1.1 Primary Objectives 1 -- 1.1.1 User-Based Category 2 -- 1.1.2 Sector-Based Category 5 -- 1.1.3 Primary Objectives 5 -- 1.2 Historical Development 8 -- 1.2.1 Sensing 8 -- 1.2.2 Historical Sensor Generations 8 -- 1.3 Trends and Technology 10 -- 1.3.1 Market Development Trends 10 -- 1.3.2 Technological Developments 12 -- 1.4 Distributed Intelligence 15 -- 1.4.1 Innovation 16 -- 1.4.2 Dis-Invention 19 -- 1.4.3 Intelligent Agent 19 -- 1.4.4 Deployment Factor 20 -- 1.4.5 Overlay Network 21 -- 1.4.6 Deployment Algorithm 21 -- 1.5 Classifying Application Areas 25 -- 1.5.1 Domain-Based Classification 26 -- 1.5.2 Mobility-Based Classification 26 -- 1.5.3 Intelligence-Based Classification 27 -- 2 Smart Sensing Devices 31 -- 2.1 Specification and Classification 31 -- 2.2 Elementary Sensing Circuits and Devices 36 -- 2.2.1 Elementary Electrical Sensors 37 -- 2.2.2 Low Energy Integration 39 -- 2.3 Actuator Interface Structures 41 -- 2.4 Physical Phenomena Sensing Devices 45 -- 2.4.1 Optical Sensors 45 -- 2.4.2 Image Sensing 46 -- 2.5 Biological and Chemical Phenomena Sensing Devices 48 -- 2.6 Other Sensors and Actuators 54 -- 3 Smart Sensing Architectures 59 -- 3.1 Smart Sensor Nodes 60 -- 3.1.1 Hardware 62 -- 3.1.2 Software 62 -- 3.2 Embedded Operating Systems 67 -- 3.3 Network Formation 70 -- 3.3.1 Node Placement 76 -- 3.4 Networking Protocols 77 -- 3.4.1 Location-Based Protocols 79 -- 3.4.2 Data-Centric Protocols 83 -- 3.4.3 Hierarchical Routing 86 -- 3.4.4 Mobility-Based Routing Protocols 90 -- 3.4.5 Other Routing Protocols 93 -- 3.5 Cross-Layer Optimisation 95 -- 3.6 Inference and Aggregation 99 -- 3.7 Case Study: Smart Camera Networks 103 -- 3.8 Case Study: Collaborative Beamforming 107 -- 4 Monitoring Well Being 115 -- 4.1 Measuring Health 116 -- 4.2 Managing Chronic Diseases 125 -- 4.3 Case Study: Smart Shirts 132 -- 4.4 Case Study: Geriatric Care 136.
4.5 Case Study: Outpatient Care 141 -- 5 Clinical Applications 149 -- 5.1 Surgical Applications 150 -- 5.2 Dental Applications 161 -- 5.3 Scalp Applications 165 -- 5.4 Post-Operative Applications 171 -- 5.5 Emergency Case Studies 181 -- 6 Smart Home, Smart Office 189 -- 6.1 Application Requirements 190 -- 6.2 Energy and Resource Optimisation 198 -- 6.3 Smart Home Case Studies 203 -- 6.4 Smart Office Case Studies 212 -- 7 Public Safety Applications 221 -- 7.1 Monitoring Airborne Toxins 223 -- 7.2 Monitoring Forest Fires 228 -- 7.3 Monitoring Structural Health 233 -- 7.4 Monitoring Traffic 242 -- 7.5 Case Study: Sink Location 250 -- 7.6 Case Study: Congestion Avoidance 254 -- 7.7 Case Study: Target Tracking and Surveillance 257 -- 8 Geographical Applications 261 -- 8.1 Farming Industry 261 -- 8.2 Mining Industry 270 -- 8.3 Transportation 274 -- 8.4 Remote Sensing and Imaging 279 -- 8.5 Earth Resources Observation 282 -- 8.6 Underwater Sensing 287 -- Appendix A Further Details on Potential Devices and Systems 293 -- A.1 Accelerometers 293 -- A.2 Equipment 295 -- A.2.1 Tomography 296 -- A.2.2 Gadgets 300 -- A.3 Smart Sensors Devices 302 -- A.3.1 Mica2 and Mica2Dot 302 -- A.3.2 MicaZ 307 -- A.3.3 Telos and TMote Sky 308 -- A.3.4 Fleck3 and FleckNano 310 -- A.3.5 3Mate! 312 -- A.3.6 IMote 2 312 -- A.3.7 System-on-Chip CC2510 313 -- A.3.8 System-on-Chip CC2530 314 -- A.4 Networks and Protocols 315 -- A.4.1 ZigBee 315 -- A.4.2 RFID and Wireless Sensor Integration 318 -- A.4.3 Wireless Sensors for Industrial Environments 319 -- A.5 Systems 321 -- References 325 -- Index 337. |
Record Nr. | UNINA-9910825297003321 |
Rashvand Habib F.
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Chichester, West Sussex : , : Wiley, , c2012 | ||
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Lo trovi qui: Univ. Federico II | ||
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Mouvement, lumière et son avec Arduino et Rasperry Pi / / Simon Monk |
Autore | Monk Simon |
Pubbl/distr/stampa | Paris : , : Eyrolles, , 2016 |
Descrizione fisica | 1 online resource (348 pages) |
Collana | Serial Makers |
Soggetto topico |
Sensor networks - Design and construction
Wireless communication systems - Design and construction |
ISBN |
2-212-04782-7
2-212-03065-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | fre |
Record Nr. | UNINA-9910155343803321 |
Monk Simon
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Paris : , : Eyrolles, , 2016 | ||
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Lo trovi qui: Univ. Federico II | ||
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Sensori per maker / Tero Karvinen, Kimmo Karvinen, Ville Valtokari |
Autore | Karvinen, Tero |
Pubbl/distr/stampa | Milano : LSWR, c2015 |
Descrizione fisica | 397 p. : ill. ; 24 cm |
Disciplina | 681.25 |
Altri autori (Persone) |
Karvinen, Kimmoauthor
Valtokari, Villeauthor |
Soggetto topico |
Sensor networks - Design and construction
Raspberry Pi (Computer) Arduino (Programmable controller) |
ISBN | 9788868951030 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Nota di contenuto | Raspberry Pi -- Arduino -- Distanza -- Fumo e gas -- Tatto -- Movimento -- Luce -- Accelerazione -- Identità -- Electricità e magnetismo -- Suono -- Tempo e clima -- Appendice guida rapida di riferimento per Linux su Raspberry Pi |
Record Nr. | UNISALENTO-991003581579707536 |
Karvinen, Tero
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Milano : LSWR, c2015 | ||
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Lo trovi qui: Univ. del Salento | ||
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