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Reasoning Method between Polynomial Error Assertions
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China..
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Malardalen Univ, Sch Innovat Design & Engn, S-72123 Vasteras, Sweden..ORCID iD: 0000-0001-9857-4317
Guangxi Univ Nationalities, Sch Math & Phys, Nanning 530006, Peoples R China..
Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China.;Guangxi Univ Nationalities, Sch Math & Phys, Nanning 530006, Peoples R China..
2021 (English)In: Information, E-ISSN 2078-2489, Vol. 12, no 8, article id 309Article in journal (Refereed) Published
Abstract [en]

Error coefficients are ubiquitous in systems. In particular, errors in reasoning verification must be considered regarding safety-critical systems. We present a reasoning method that can be applied to systems described by the polynomial error assertion (PEA). The implication relationship between PEAs can be converted to an inclusion relationship between zero sets of PEAs; the PEAs are then transformed into first-order polynomial logic. Combined with the quantifier elimination method, based on cylindrical algebraic decomposition, the judgment of the inclusion relationship between zero sets of PEAs is transformed into judgment error parameters and specific error coefficient constraints, which can be obtained by the quantifier elimination method. The proposed reasoning method is validated by proving the related theorems. An example of intercepting target objects is provided, and the correctness of our method is tested through large-scale random cases. Compared with reasoning methods without error semantics, our reasoning method has the advantage of being able to deal with error parameters.

Place, publisher, year, edition, pages
MDPI , 2021. Vol. 12, no 8, article id 309
Keywords [en]
formal method, reasoning method, system verification, polynomial, error control
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-55823DOI: 10.3390/info12080309ISI: 000690442500001Scopus ID: 2-s2.0-85112594189OAI: oai:DiVA.org:mdh-55823DiVA, id: diva2:1592644
Available from: 2021-09-09 Created: 2021-09-09 Last updated: 2021-11-05Bibliographically approved

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Wu, PengXiong, Ning

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