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Cyber-physical systems : decision making mechanisms and applications /
As systems continue to evolve they rely less on human decision-making and more on computational intelligence. This trend in conjunction to the available technologies for providing advanced sensing, measurement, process control, and communication lead towards the new field of Cyber-Physical System (C...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Gistrup, Denmark :
River Publishers,
2017.
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| Colección: | River Publishers series in circuits and systems.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Cyber-physical systems : |b decision making mechanisms and applications / |c Kostas Siozios, Dimitrios Soudris, Elias Kosmatopoulos. |
| 264 | 1 | |a Gistrup, Denmark : |b River Publishers, |c 2017. | |
| 300 | |a 1 online resource | ||
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| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a River Publishers Series in Circuits and Systems | |
| 588 | 0 | |a Print version record. | |
| 520 | |a As systems continue to evolve they rely less on human decision-making and more on computational intelligence. This trend in conjunction to the available technologies for providing advanced sensing, measurement, process control, and communication lead towards the new field of Cyber-Physical System (CPS). Cyber-physical systems are expected to play a major role in the design and development of future engineering platforms with new capabilities that far exceed today's levels of autonomy, functionality and usability. Although these systems exhibit remarkable characteristics, their design and implementation is a challenging issue, as numerous (heterogeneous) components and services have to be appropriately modeled and simulated together. The problem of designing efficient CPS becomes far more challenging in case the target system has to meet also real-time constraints. CyberPhysical Systems: Decision Making Mechanisms and Applications describes essential theory, recent research and large-scale usecases that addresses urgent challenges in CPS architectures. In particular, it includes chapters on: " Decision making for large scale CPS " Modeling of CPS with emphasis at the control mechanisms " Hardware/software implementation of the control mechanisms " Fault-tolerant and reliability issues for the control mechanisms " Cyberphysical user-cases that incorporate challenging decision making | ||
| 505 | 0 | 0 | |g Machine generated contents note: |g 1. |t Overview of Emerging Systems-Related Concepts, Approaches and Technologies Unifying and Advancing S & T Achievements of the Past Decades (e.g. CPS, IoT, I2oT, SoS/E, 5G and Cross-Cutting Decision Making) / |r Alkis Konstantellos -- |g 1.1. |t Introduction -- |g 1.1.1. |t Key Survey, Review, Reference Publications and Textbooks -- |g 1.1.2. |t Motivating Example: Air Traffic Management and Collision Avoidance Systems -- |g 1.1.3. |t Success and Failure of Contemporary Systems -- |g 1.2. |t System, Model(s), Many Systems and Their Characterisation -- |g 1.2.1. |t What Is a General System? -- |g 1.2.1.1. |t One system -- |g 1.2.1.2. |t Many systems in an environment -- |g 1.2.2. |t System Characterisations -- Elementary Abstractions -- |g 1.2.2.1. |t Characterisation through fundamental attributes -- |g 1.2.2.2. |t Characterisation according to the nature of a system -- |g 1.2.2.3. |t intuitive characterisation-profiling scheme for systems -- |g 1.3. |t Specific Systems Classification in Established R & D-S & T Databases -- |g 1.3.1. |t Condensed Outline-Definitions of the New Topics and Initiatives -- |g 1.3.2. |t Sciences, Technologies, Industry and Related Communities -- |g 1.4. |t Evolutionary Paths towards (CPS, IoT, SoS/E) and (Ind 4, Soc 5.0) -- |g 1.4.1. |t S & T Paths Jointly Leading to CPS -- |g 1.4.2. |t S & T Paths Jointly Leading to IoT -- |g 1.4.3. |t S & T Paths Jointly Leading to SoS/SoSE and Independently to Industry 4.0 -- |g 1.5. |t CPS in More Detail: Definitions, Challenges, Debates and Synergies -- |g 1.5.1. |t Introductory Examples -- |g 1.5.2. |t Success of the Term CPS and Its "Externalities" -- |g 1.5.3. |t CPS -- Definitions -- |g 1.5.4. |t What Is Not a CPS? -- |g 1.5.5. |t Same System Can Be Viewed under Different Perspectives and Modelled through Different Methods -- |g 1.5.6. |t Boundaries between Cyber and Physical Parts of a CPS System -- |g 1.5.7. |t Cascading & Nesting of Multiple Cyber, Physical and Complete CPS -- |g 1.5.8. |t Simple Classification-Profiling Tool for CPS -- |g 1.5.9. |t CPS vs. IoT -- |g 1.5.10. |t CPS vs. |
| 505 | 0 | 0 | |t ICT (Information and Communication Technologies) -- |g 1.5.11. |t Examples of CPS Challenges and Some R & D Directions -- |g 1.6. |t IoT in More Detail and the 5G Mobile Technologies -- |g 1.6.1. |t IoT Applications and Benefits -- Internet of Everything -- |g 1.6.2. |t On the IoT Definition -- |g 1.6.3. |t Industry Views on IoT and the Industrial IoT (I2oT) by the 12 Consortium -- |g 1.6.4. |t 5th Generation Mobile Technologies (Expected around 2020) -- |g 1.7. |t System of Systems (SoS) and SoS Engineering (SoSE) -- More Details -- |g 1.7.1. |t System of Systems Examples -- |g 1.7.2. |t Dahmann and Baldwin Types of SoS -- |g 1.7.3. |t Large Scale Systems, Complexity and (Old and New) Cybernetics -- |g 1.8. |t Decision Making: Definitions, Examples, Methods, Interactions with System Design -- |g 1.8.1. |t Scientific, Engineering Aspects -- Machine and Human Decision Making (DM) -- |g 1.8.2. |t Definitions and Basic Considerations -- |g 1.8.3. |t Motivating DM Example: Football Goal Line Technology -- |g 1.8.4. |t Industrial Examples -- |g 1.8.4.1. |t Same decision making challenges in different industries -- |g 1.8.4.2. |t Elementary process automation DM -- Decidability cases -- |g 1.8.4.3. |t Decision making and processes in large scale Collision Avoidance systems (CA) -- |g 1.8.4.4. |t Consensus based methods, majority and supermajority voting -- |g 1.8.4.5. |t Human in the loop (HitL) -- |g 1.8.5. |t Sequential Process, CPS and Decision Making -- |g 1.8.5.1. |t General -- |g 1.8.5.2. |t Sequential process examples -- |g 1.9. |t Requirements Engineering and Technology Maturity Levels -- |g 1.9.1. |t Requirements Engineering -- |g 1.9.2. |t Is TRL Sufficient for CPS and SoS/E? -- |g 1.10. |t System of the Future (SoF) -- Food for Thought -- |g 1.10.1. |t Dreams and Visions of the Systems R & D Communities -- |g 1.10.2. |t System of the Future (SoF) -- |g 1.10.3. |t Further Examples of Systems Topics for Future R & D Activities -- |g 1.11. |t Concluding Remarks -- |g 1.12. |t Summary -- |t Acknowledgment -- |t References -- |g 2. |t On Designing Decision-Making Mechanisms for Cyber-Physical Systems / |r Elias Kosmatopoulos -- |g 2.1. |t Introduction -- |g 2.2. |t Related Work for Designing CPS Platforms -- |g 2.3. |t Conclusions -- |t References -- |g 3. |t Design Space Exploration Methodology Based on Decision Trees for Cyber-Physical Systems / |r Dimitrios Soudris -- |g 3.1. |t Methodology -- |g 3.1.1. |t Design Options -- |g 3.1.2. |t Constraints -- |g 3.1.3. |t Interdependencies -- |g 3.1.4. |t Methodology Flow -- |g 3.2. |t Demonstration of the Methodology -- |g 3.2.1. |t DSE on Concurrent Data Structures -- |g 3.2.2. |t DSE on Multiway Streaming Aggregation -- |g 3.3. |t Conclusion -- |t References -- |g 4. |t PReDiCt: A Scenario-based Methodology for Realizing Decision-Making Mechanisms Targeting Cyber-Physical Systems / |r Dimitrios Soudris -- |g 4.1. |t PReDiCt Framework -- |g 4.1.1. |t Step 1: Requirements -- |g 4.1.2. |t Step 2: System Design -- |g 4.1.3. |t Step 3: System Modeling -- |g 4.1.4. |t Step 4: Run-Time Situation (RTS) Definition -- |g 4.1.5. |t Step 5: Scenario Clustering -- |g 4.1.6. |t Step 6: Decision Making -- |g 4.1.7. |t Step 7: System Verification -- |g 4.2. |t Employed Use Case -- |g 4.2.1. |t Applying the Proposed Framework -- |g 4.3. |t Experimental Results -- |g 4.3.1. |t Hardware Implementation of Decision Making -- |g 4.4. |t Conclusion -- |t References -- |g 5. |t Studying Fault Tolerance Aspects / |r Kostas Siozios -- |g 5.1. |t Introduction -- |g 5.2. |t Definition of Faults and Fault-Tolerance -- |g 5.3. |t Overview of Wear-out Mechanisms -- |g 5.4. |t Classication of Faults -- |g 5.5. |t Countermeasures for a Fault-Tolerant System -- |g 5.5.1. |t Fault Avoidance -- |g 5.5.2. |t Fault Detection -- |g 5.5.3. |t Containment -- |g 5.5.4. |t Isolation -- |g 5.5.5. |t Recovery -- |g 5.6. |t Improving Fault Masking with Redundancy -- |g 5.7. |t Fault Forecasting -- |g 5.8. |t Conclusion -- |t References -- |g 6. |t Framework for Research and Prototyping in Robotics: From Ideas to Software and Hardware Development / |r Evangelos Papadopoulos -- |g 6.1. |t Introduction -- |g 6.2. |t Framework for Simulation and Prototyping -- |g 6.2.1. |t Modeling, Dynamics, and Simulation -- |g 6.2.1.1. |t Dynamics derivation and simulation methods -- |g 6.2.1.2. |t Modeling the environment -- |g 6.2.2. |t System Development: Hardware and Software -- |g 6.2.2.1. |t Introduction -- |g 6.2.2.2. |t automation pyramid -- |g 6.2.2.3. |t OSI model and Media Access Control (MAC) methods -- |g 6.2.2.4. |t Networked Control System design -- |g 6.2.2.5. |t Switched Ethernet and determinism -- |g 6.2.2.6. |t Quality of Service (QoS) -- |g 6.2.2.7. |t Latency in switched Ethernet -- |g 6.2.2.8. |t Message exchange using Ethernet, IP, and UDP -- |g 6.2.2.9. |t Network layer: The Internet Protocol -- |g 6.2.2.10. |t Transport layer: The User Datagram Protocol -- |g 6.2.2.11. |t Application layer -- |g 6.2.2.12. |t Software design for the MCU node -- |g 6.2.2.13. |t Software design for the ROS computer -- |g 6.3. |t Application Experiments -- |g 6.3.1. |t Treadmill Control -- |g 6.3.1.1. |t System description -- |g 6.3.1.2. |t Software design: MCU side -- |g 6.3.1.3. |t Software design: ROS side -- |g 6.3.1.4. |t Hardware experiment -- |g 6.3.2. |t Single Actuated Hopping Robot (SAHR) -- |g 6.3.2.1. |t Robot description -- |g 6.3.2.2. |t Software design: MCU side -- |g 6.3.2.3. |t Software design: ROS side -- |g 6.3.2.4. |t Simulation experiment -- |g 6.3.2.5. |t Hardware experiment -- |g 6.3.2.6. |t Simulations on interactions with terrains -- |g 6.4. |t Conclusions -- |t Acknowledgment -- |t References -- |g 7. |t Modeling Control Mechanisms in MATLAB / |r Kostas Siozios -- |g 7.1. |t Introduction -- |g 7.2. |t MATLAB Control System Toolbox -- |g 7.3. |t Overview of Commands for the Control System Toolbox -- |g 7.4. |t Examples of Designing Control Systems at MATLAB -- |g 7.4.1. |t Example 7.1 -- |g 7.4.2. |t Example 7.2 -- |g 7.4.3. |t Example 7.3 -- |g 7.4.4. |t Example 7.4 -- |g 7.4.5. |t Example 7.5 -- |g 7.4.6. |t Example 7.6 -- |g 7.4.7. |t Example 7.7 -- |g 7.4.8. |t Example 7.8 -- |g 7.4.9. |t Example 7.9 -- |g 7.4.10. |t Example 7.10 -- |g 7.4.11. |t Example 7.11 -- |g 7.4.12. |t Example 7.12 -- |g 7.4.13. |t Example 7.13 -- |g 7.4.14. |t Example 7.14 -- |g 7.4.15. |t Example 7.15 -- |g 7.4.16. |t Example 7.16 -- |g 7.4.17. |t Example 7.17 -- |g 7.4.18. |t Example 7.18 -- |g 8. |t Overview of R & D Projects and Support Actions in Relevant Topics / |r Alkis Konstantellos -- |g 8.1. |t Road-Mapping Projects on CPS, IoT, SoS, Combined CPS -- SoS and Related Technologies -- |g 8.2. |t Systems Related Foundations and Novel Concepts -- |g 8.3. |t Cross-Layer Programming -- |g 8.4. |t Systems of Systems and CPS -- |g 8.5. |t Control and Optimization in CPS and SoS -- |g 8.6. |t CPS Modeling, Design, Methods, and Tools -- |g 8.7. |t CPS Security, Safety, Trust, and Testing -- |g 8.8. |t CPS Verification -- |g 8.9. |t CPS Platforms -- |g 8.10. |t CPS and Manufacturing -- |g 8.11. |t Industry 4.0 and CPS -- |g 8.12. |t IoT and Underpinning Challenges -- |g 8.13. |t International Cooperation -- Examples -- |g 8.14. |t Decision Making (Methods Applied) -- |g 8.15. |t Decision Processes -- Human in the Loop -- |g 8.16. |t Collision Avoidance (CA) Including ACAS-X -- |g 8.17. |t Concluding Comments -- |t Acknowledgment -- |t References. |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Cooperating objects (Computer systems) |x Decision making. | |
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| 700 | 1 | |a Siozios, Kostas, |e editor. | |
| 700 | 1 | |a Soudris, Dimitrios, |d 1964- |e editor. | |
| 700 | 1 | |a Kosmatopoulos, Elias, |e editor. | |
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