000 03488nam a22005055i 4500
999 _c12343
_d12343
001 978-3-319-47016-0
003 DE-He213
005 20211206100507.0
008 161107s2017 gw | s |||| 0|eng d
020 _a9783319470160
040 _cAIKTC-KRRC
041 _aENG
072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
_2bisacsh
072 7 _aTJFC
_2thema
082 0 4 _a621.3815
_223
100 1 _aZhan, Naijun.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aFormal Verification of Simulink/Stateflow Diagrams
_h[electronic resource] :
_bA Deductive Approach /
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXV, 258 p. 74 illus., 60 illus. in color.
_bCard Paper
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
520 _aThis book presents a state-of-the-art technique for formal verification of continuous-time Simulink/Stateflow diagrams, featuring an expressive hybrid system modelling language, a powerful specification logic and deduction-based verification approach, and some impressive, realistic case studies. Readers will learn the HCSP/HHL-based deductive method and the use of corresponding tools for formal verification of Simulink/Stateflow diagrams. They will also gain some basic ideas about fundamental elements of formal methods such as formal syntax and semantics, and especially the common techniques applied in formal modelling and verification of hybrid systems. By investigating the successful case studies, readers will realize how to apply the pure theory and techniques to real applications, and hopefully will be inspired to start to use the proposed approach, or even develop their own formal methods in their future work.
650 0 _aEXTC Engineering
_94619
653 _aMicroprocessors.
653 _aProcessor Architectures.
653 _aElectronic Circuits and Devices.
700 1 _aWang, Shuling.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aZhao, Hengjun.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319470146
776 0 8 _iPrinted edition:
_z9783319470153
776 0 8 _iPrinted edition:
_z9783319836386
856 4 0 _uhttps://doi.org/10.1007/978-3-319-47016-0
_zClick here to access eBook in Springer Nature platform. (Within Campus only.)
942 _cEBOOKS
_2ddc