{"title":"Formal analysis of fractional order systems in HOL","authors":"U. Siddique, O. Hasan","doi":"10.5555/2157654.2157680","DOIUrl":"https://doi.org/10.5555/2157654.2157680","url":null,"abstract":"Fractional order systems, which involve integration and differentiation of non integer order, are increasingly being used in the fields of control systems, robotics, signal processing and circuit theory. Traditionally, the analysis of fractional order systems has been performed using paper-and-pencil based proofs or computer algebra systems. These analysis techniques compromise the accuracy of their results and thus are not recommended to be used for safety-critical fractional order systems. To overcome this limitation, we propose to leverage upon the high expressiveness of higher-order logic to formalize the theory of fractional calculus, which is the foremost mathematical concept in analyzing fractional order systems. This paper provides a higher-order-logic formalization of fractional calculus based on the Riemann-Liouville approach using the HOL theorem prover. To demonstrate the usefulness of the reported formalization, we utilize it to formally analyze some fractional order systems, namely, a fractional electrical component Resistoductance, a fractional integrator and a fractional differentiator circuit.","PeriodicalId":219905,"journal":{"name":"2011 Formal Methods in Computer-Aided Design (FMCAD)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129419183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Learning conditional abstractions","authors":"Bryan A. Brady, R. Bryant, S. Seshia","doi":"10.5555/2157654.2157674","DOIUrl":"https://doi.org/10.5555/2157654.2157674","url":null,"abstract":"Abstraction is central to formal verification. In term-level abstraction, the design is abstracted using a fragment of first-order logic with background theories, such as the theory of uninterpreted functions with equality. The main challenge in using term-level abstraction is determining what components to abstract and under what conditions. In this paper, we present an automatic technique to conditionally abstract register transfer level (RTL) hardware designs to the term level. Our approach is a layered approach that combines random simulation and machine learning inside a counter-example guided abstraction refinement (CEGAR) loop. First, random simulation is used to determine modules that are candidates for abstraction. Next, machine learning is used on the resulting simulation traces to generate candidate conditions under which those modules can be abstracted. Finally, a verifier is invoked. If spurious counterexamples arise, we refine the abstraction by performing a further iteration of random simulation and machine learning. We present an experimental evaluation on processor designs.","PeriodicalId":219905,"journal":{"name":"2011 Formal Methods in Computer-Aided Design (FMCAD)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132350388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Specification based testing with QuickCheck","authors":"John Hughes","doi":"10.1007/978-1-349-91518-7_2","DOIUrl":"https://doi.org/10.1007/978-1-349-91518-7_2","url":null,"abstract":"","PeriodicalId":219905,"journal":{"name":"2011 Formal Methods in Computer-Aided Design (FMCAD)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125511524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}