System Co-Design (SCODE): methodology for the analysis of hybrid systems-Reference-Cited by-同舟云学术

System Co-Design (SCODE): methodology for the analysis of hybrid systems

Published:2020-06-01 Issue:6 Volume:68 Page:488-499
ISSN:2196-677X
Container-title:at - Automatisierungstechnik
language:en
Short-container-title:

Author:

Bitzer Matthias¹,Herrmann Martin¹,Mayer-John Eckart¹

Affiliation:

1. Corporate Sector Research and Advance Engineering, Model-Based Systems Engineering (CR/AEE) , 39259 Robert Bosch GmbH , Robert-Bosch-Campus 1 , Renningen , Germany ,

Abstract

Abstract The increasing complexity of control engineering functionality and its implementation in software requires a methodology for the systematic integration of control theoretical as well as software engineering approaches. The presented SCODE methodology aims towards a systematic derivation of operational modes and their verification considering all relevant logical relations for the respective functional design. This is done in the sense of an Essential Analysis for mechatronic systems. Apart from guaranteed (logical) completeness and consistency, the benefit of systematic modular structuring results in reduction of complexity as well as improved maintainability and testability. The article discusses the method on the basis of a mechatronic example, demonstrates its advantages, and describes available tool support.

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

https://www.degruyter.com/document/doi/10.1515/auto-2020-0037/pdf

Reference42 articles.

1. F. Allgöwer, J. Borges de Sousa, J. Kapinski, P. Mosterman, J. Oehlerking, P. Panciatici, M. Prandini, A. Rajhans, P. Tabuada and P. Wenzelburger. Position paper on the challenges posed by modern applications to cyber-physical systems theory. Nonlinear Analysis: Hybrid Systems, 34:147–165, 2019.

2. M. Behle, A. Leonhardi and A. Mayer. Increasingly complex systems demand new software engineering methods. Technical report, ETAS GmbH, 2018. https://www.etas.com/en/downloadcenter/26949.php.

3. M. Behle and A. Mayer. New paths in software engineering. Technical report, ETAS GmbH, 2018. https://www.etas.com/en/downloadcenter/28739.php.

4. A. Bemporad and M. Morari. Control of systems integrating logic, dynamics and constraints. Automatica, 35:407–427, 1999.

5. M. Bitzer, M. Herrmann and E. Mayer-John. System Co-Design (SCODE): Methodik zur Analyse hybrider Systeme. at – Automatisierungstechnik, 67(9):739–750, 2019.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigating CLIP Performance for Meta-data Generation in AD Datasets;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

2. Using ontologies for dataset engineering in automotive AI applications;2022 Design, Automation & Test in Europe Conference & Exhibition (DATE);2022-03-14

3. Tool Integration for Automated Synthesis of Distributed Embedded Controllers;ACM Transactions on Cyber-Physical Systems;2022-01-31

4. A segmental pump-motor control scheme to attain targeted speed under varying load demand of a hydraulic drive used in heavy earth movers;Mechatronics;2021-12

5. Description of Corner Cases in Automated Driving: Goals and Challenges;2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2021-10