Modelling control systems in SystemC AMS &amp;#x2014; Benefits and limitations

Hartmann, Philipp A.; Reinkemeier, Philipp; Rettberg, Achim; Nebel, Wolfgang

doi:10.1109/soccon.2009.5398043

Cited by 7 publications

(4 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, Electrical Linear Network (ELN) is conservative, but it does not support behavioral models. Furthermore, SystemC-AMS does not yet support non-linear modeling [9] and it can not therefore be considered a replacement for SPICE [4] or Verilog-AMS [5].…”

Section: Systemc-ams Abstraction Levelsmentioning

confidence: 99%

See 1 more Smart Citation

SystemC-AMS Simulation of Conservative Behavioral Descriptions

Vinco

Lora

Zwoliński

2016

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

SystemC has recently been extended with the Analog and Mixed Signal (AMS) library, with the ultimate goal of providing simulation support for analog electronics and continuous time behavior. SystemC-AMS allows modeling of systems that are either conservative and low level or continuous time and behavioral, which is a limited range compared to other AMS HDLs. This work addresses this challenge by extending SystemC-AMS support to a new level of abstraction, namely Analog Behavioral Modeling (ABM), to cover models that are both behavioral and conservative. This leads to a methodology that uses SystemC-AMS constructs in a novel way. Full automation of the methodology allows proof of its effectiveness both in terms of accuracy and simulation performance, by applying the overall approach to a complex industrial Micro Electro-Mechanical System (MEMS) case study. The effectiveness of the proposed approach is further highlighted in the context of virtual platforms for smart systems, and adopting a C++-based language for MEMS simulation reduces the simulation time by about 2x, thus enhancing the design and integration flow.

show abstract

Section: Systemc-ams Abstraction Levelsmentioning

confidence: 99%

“…Its role is to provide a higher level view of mixed-signal and analog systems, to allow early simulation and validation of the overall system. For this reason, SystemC-AMS supports only linear and time-invariant descriptions, and is incapable of solving non-linear functions [9].…”

Section: Systemc-amsmentioning

confidence: 99%

SystemC-AMS Simulation of Conservative Behavioral Descriptions

Vinco

Lora

Zwoliński

2016

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

show abstract

“…Its role is to provide a higher level view of mixed-signal and analogue systems, to allow early simulation and validation of the overall system. For this reason, SystemC-AMS supports only linear and time-invariant descriptions, and is incapable of solving non-linear functions [9].…”

Section: B Systemc-amsmentioning

confidence: 99%

“…On the other hand, Electrical Linear Network (ELN) is conservative, but it does not support behavioural models. Furthermore, SystemC-AMS does not yet support non-linear modelling [9] and it can not therefore be considered a replacement for SPICE [4] or Verilog-AMS [5].…”

Section: Introductionmentioning

confidence: 99%

Conservative behavioural modelling in systemc-AMS

Vinco

Lora

Zwoliński

2015

2015 Forum on Specification and Design Languages (FDL)

View full text Add to dashboard Cite

SystemC has recently been extended with the Analogue and Mixed Signal (AMS) library, with the ultimate goal of providing simulation support to analogue electronics and continuous time behaviours. SystemC-AMS allows modelling of systems that are either conservative and extremely low level or continuous time and behavioural, which is limited compared to other AMS HDLs. This work faces up this challenge, by extending SystemC-AMS support to a new level of abstraction, called Analogue Behavioural Modelling (ABM), covering models that are both behavioural and conservative. This leads to a methodology that uses SystemC-AMS constructs in a novel way. Full automation of the methodology allows proof of its effectiveness both in terms of accuracy and simulation performance, and application of the overall approach to a complex industrial Micro Electro-Mechanical System (MEMS) case study. The effectiveness of the proposed approach is further highlighted in the context of virtual platforms for smart systems, as adopting a C++-based language for MEMS simulation reduces the simulation time by about 2x, thus enhancing the design and integration flow.

show abstract