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Verifying a Cruise Control System using Simulink and SpaceEx

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Nikolaos Kekatos

Logic in Computer Science · Submitted 31 Dec 2020

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim This article aims to provide a simple step-by-step guide highlighting the steps needed to verify a control system with formal verification tools.

how it is stated · asserted 0.85 read the record →

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arXiv ID2101.00102 (version 1)
Pith IDVH2LZ5JC, Pith's permanent record of this paper and its review
CitationNikolaos Kekatos. "Verifying a Cruise Control System using Simulink and SpaceEx." arXiv:2101.00102 (2020). https://pith.science/paper/VH2LZ5JC
Claim paper

The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Open the compiled record

Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 2,310 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.09 · human participants 0.02 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.04 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

This article aims to provide a simple step-by-step guide highlighting the steps needed to verify a control system with formal verification tools. Starting from a description of the physical system and a control objective in natural language, we design the plant and the controller, we use Simulink for simulation and we employ a reachability analysis tool, SpaceEx, for formal verification.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 This article aims to provide a simple step-by-step guide highlighting the steps needed to verify a control system with formal verification tools. contribution 0.97 0.32 0.13 asserted 0.85
s1 Starting from a description of the physical system and a control objective in natural language, we design the plant and the controller, we use Simulink for simulation and we employ a reachability analysis tool, SpaceEx, for formal verification. method 0.99 0.89 0.10 asserted 0.98

What kind of paper the classifier reports this is: method or tool 0.95 · evidence from simulation or computation 0.92.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

This article aims to provide a simple step-by-step guide highlighting the steps needed to verify a control system with formal verification tools. Starting from a description of the physical system and a control objective in natural language, we design the plant and the controller, we use Simulink for simulation and we employ a reachability analysis tool, SpaceEx, for formal verification.

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