Model-based control design and integration of cyberphysical systems: an adaptive cruise control case study
type: Item
instance of: scholarly article
title: Model-based control design and integration of cyberphysical systems: an adaptive cruise control case study
zbMATH Open document ID: 1263.93083
DOI: 10.1155/2013/678016
author: Emeka Eyisi
author: Zhenkai Zhang
author: Joseph Porter
author: Gabor Karsai
author: Janos Sztipanovits
author: Xenofon D. Koutsoukos
published in: Journal of Control Science and Engineering
publication date: 2013-06-10T00:00:00Z
review text: Summary: The systematic design of automotive control applications is a challenging problem due to lack of understanding of the complex and tight interactions that often manifest during the integration of components from the control design phase with the components from software generation and deployment on actual platform/network. In order to address this challenge, we present a systematic methodology and a toolchain using well-defined models to integrate components from various design phases with specific emphasis on restricting the complex interactions that manifest during integration such as timing, deployment, and quantization. We present an experimental platform for the evaluation and testing of the design process. The approach is applied to the development of an adaptive cruise control, and we present experimental results that demonstrate the efficacy of the approach.
Mathematics Subject Classification ID: 93B51
Mathematics Subject Classification ID: 93B40
zbMATH DE Number: 6172159
zbMATH Keywords: control design
zbMATH Keywords: integration of various design phases
zbMATH Keywords: toolchain
zbMATH Keywords: evaluation and testing of the design process
Wikidata QID: Q59012439
describes a project that uses: Ptolemy
describes a project that uses: Carsim
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/678016
OpenAlex ID: W2029843014
description: scientific article; zbMATH DE number 6172159