000 04101nam a22005415i 4500
001 978-3-030-13050-3
003 DE-He213
005 20220801213638.0
007 cr nn 008mamaa
008 190509s2019 sz | s |||| 0|eng d
020 _a9783030130503
_9978-3-030-13050-3
024 7 _a10.1007/978-3-030-13050-3
_2doi
050 4 _aTK7867-7867.5
072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
_2bisacsh
072 7 _aTJFC
_2thema
082 0 4 _a621.3815
_223
245 1 0 _aDesign Automation of Cyber-Physical Systems
_h[electronic resource] /
_cedited by Mohammad Abdullah Al Faruque, Arquimedes Canedo.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aX, 288 p. 102 illus., 80 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart 1. Design and Engineering -- Chapter 1. Concept Design: Modeling and Synthesis from Requirements to Functional Models and Simulation -- Chapter 2. Platform-Based Design for Automotive and Transportation Cyber-Physical Systems -- Chapter 3. An Hourglass-Shaped Architecture for Model-Based Development of Networked Cyber-Physical Systems -- Part 2. Testing and Operation -- Chapter 4. Formal Techniques for Verification and Testing of Cyber-Physical Systems -- Chapter 5. Data-driven Safety Verification of Complex Cyber-Physical Systems -- Chapter 6. System Assurance in the Design of Resilient Cyber-Physical Systems -- Part 3. Application-Specific Design Automation Methodologies and Tools -- Chapter 7. Optimal Design of Distributed Controllers for Large-Scale Cyber-Physical Systems -- Chapter 8. Model-driven Software Design Automation for Complex Rehabilitation -- Chapter 9. Design Automation using Structural Graph Convolutional Neural Networks -- Chapter 10. Design Automation for Energy Storage Systems.
520 _aThis book presents the state-of-the-art and breakthrough innovations in design automation for cyber-physical systems.The authors discuss various aspects of cyber-physical systems design, including modeling, co-design, optimization, tools, formal methods, validation, verification, and case studies. Coverage includes a survey of the various existing cyber-physical systems functional design methodologies and related tools will provide the reader unique insights into the conceptual design of cyber-physical systems. Provides a single-source reference on design automation of cyber-physical systems; Serves as a practical guide to managing complexity during the CPS development process with design automation tools and methodologies; Discusses modeling cyber-physical systems at various abstraction levels; Includes coverage of high-level synthesis for cyber-physical systems; Discusses design for performance/energy-efficiency/security, as well as various tools for validation and verification; Includes case studies in manufacturing and critical infrastructure systems.
650 0 _aElectronic circuits.
_919581
650 0 _aMicroprocessors.
_933409
650 0 _aComputer architecture.
_93513
650 0 _aSignal processing.
_94052
650 1 4 _aElectronic Circuits and Systems.
_933410
650 2 4 _aProcessor Architectures.
_933411
650 2 4 _aSignal, Speech and Image Processing .
_931566
700 1 _aAl Faruque, Mohammad Abdullah.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_933412
700 1 _aCanedo, Arquimedes.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_933413
710 2 _aSpringerLink (Online service)
_933414
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030130497
776 0 8 _iPrinted edition:
_z9783030130510
776 0 8 _iPrinted edition:
_z9783030130527
856 4 0 _uhttps://doi.org/10.1007/978-3-030-13050-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75431
_d75431