LEADER 02323oam 2200433zu 450 001 9910139616203321 005 20241212215824.0 010 $a9781457714900 010 $a1457714906 035 $a(CKB)2550000000042243 035 $a(SSID)ssj0000669675 035 $a(PQKBManifestationID)12276019 035 $a(PQKBTitleCode)TC0000669675 035 $a(PQKBWorkID)10714751 035 $a(PQKB)11552638 035 $a(NjHacI)992550000000042243 035 $a(EXLCZ)992550000000042243 100 $a20160829d2011 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$a2011 12th Latin American Test Workshop 210 31$a[Place of publication not identified]$cIEEE$d2011 215 $a1 online resource 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781457714894 311 08$a1457714892 330 $aSystemC-AMS allows the modeling of complex heterogeneous systems at different levels of abstraction using different modeling styles, called Models of Computation (MoC). This work presents an approach for including energy consumption information in high-level modeling of linear electrical circuits described using the SystemC-AMS Linear Signal Flow (LSF) MoC. The method introduced here proposes to start from a description of the system at a low level of abstraction, which is a description using the SystemC-AMS Electrical Linear Network (ELN) MoC or a SPICE netlist. The following steps of the proposed approach automatically extract the state space representation corresponding to the analyzed circuit. During the state space representation extraction, the supply current signal is regarded as an output of the state space representation. This output allows an instantaneous monitoring of the power consumption of the system at the LSF description level. The case study that we present as a proof of the proposed approach is a passive fourth-order low pass filter. 606 $aElectronic apparatus and appliances$xTesting$vCongresses 615 0$aElectronic apparatus and appliances$xTesting 676 $a621.3810287 702 $aIEEE Staff 801 0$bPQKB 906 $aPROCEEDING 912 $a9910139616203321 996 $a2011 12th Latin American Test Workshop$92397466 997 $aUNINA