Robust Control: The Parametric Approach
Robust Control: The Parametric Approach
Symbolic Analysis for Automated Design of Analog Integrated Circuits
Symbolic Analysis for Automated Design of Analog Integrated Circuits
Analog circuit sizing based on formal methods using affine arithmetic
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
Towards formal verification of analog designs
Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
A practical approach for monitoring analog circuits
GLSVLSI '06 Proceedings of the 16th ACM Great Lakes symposium on VLSI
Verification of analog/mixed-signal circuits using labeled hybrid petri nets
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Review: Formal verification of analog and mixed signal designs: A survey
Microelectronics Journal
Instrumenting AMS assertion verification on commercial platforms
ACM Transactions on Design Automation of Electronic Systems (TODAES)
A static verification approach for architectural integration of mixed-signal integrated circuits
Integration, the VLSI Journal
MTL robust testing and verification for LPV systems
ACC'09 Proceedings of the 2009 conference on American Control Conference
The Case for Analog Circuit Verification
Electronic Notes in Theoretical Computer Science (ENTCS)
On behavioral model equivalence checking for large analog/mixed signal systems
Proceedings of the International Conference on Computer-Aided Design
Combining time and frequency domain specifications for periodic signals
RV'11 Proceedings of the Second international conference on Runtime verification
Formal verification of analog circuit parameters across variation utilizing SAT
Proceedings of the Conference on Design, Automation and Test in Europe
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This contribution presents an approach to formal verification of linear analog circuits with parameter tolerances. The method proves that an actual circuit fulfills a specification in a given frequency interval for all parameter variations. It is based on a curvature driven bound computation for value sets using interval arithmetic. Some examples demonstrate the feasibility of our approach.