JOURNAL ARTICLE

Integrated Modeling and Analysis of Automotive Embedded Control Systems with Real-Time Scheduling

Zonghua GuShige WangJeong Chan KimKang G. Shin

Year: 2004 Journal:   SAE technical papers on CD-ROM/SAE technical paper series Vol: 1

Abstract

<div class="htmlview paragraph">As the complexity of automotive embedded software grows, it is desirable to bring as much automation into the development process as possible, as evidenced by efficient code generators from modeling tools such as Simulink. However, the current development process does not pay enough attention to non-functional issues such as real-time requirements. Modeling tools such as Simulink do not allow representation of the target platform, so it is not possible to analyze real-time behavior in the early design stage. The typical approach is to download the executable to the target micro-controller and measure to see if there are any missed deadlines. We describe a tool that can be used to model system-level software and hardware architectures and analyze system timing behavior at early design stages, and assess the impact of the target platform on control system performance.</div>

Keywords:
Automotive industry Computer science Scheduling (production processes) Real-time Control System Embedded system Real-time computing Control (management) Engineering Artificial intelligence

Metrics

7
Cited By
1.23
FWCI (Field Weighted Citation Impact)
5
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Real-Time Systems Scheduling
Physical Sciences →  Computer Science →  Hardware and Architecture
Real-time simulation and control systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Embedded Systems Design Techniques
Physical Sciences →  Computer Science →  Hardware and Architecture

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