Proceedings ArticleDOI
Multi-Objective Co-Optimization of FlexRay-Based Distributed Control Systems
Debayan Roy,Licong Zhang,Wanli Chang,Dip Goswami,Samarjit Chakraborty +4 more
- pp 1-12
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TLDR
A co-optimization approach for FlexRay-based distributed control systems, that synthesizes both the controllers and the task and communication schedules and generates a Pareto front representing the trade-offs between these two, which allows the engineers to make suitable design choices.Abstract:
Recently, research on control and architecture co- design has been drawing increasingly more attention. This is because these techniques integrate the design of the controllers and the architecture and explore the characteristics on both sides to achieve more efficient design of embedded control systems. However, there still exist several challenges like the large design space and inadequate trade-off opportunities for different objectives like control performance and resource utilization. In this paper, we propose a co-optimization approach for FlexRay-based distributed control systems, that synthesizes both the controllers and the task and communication schedules. This approach exploits some FlexRay protocol specific characteristics to reduce the complexity of the whole optimization problem. This is done by employing a customized control design and a nested two-layered optimization technique. Therefore, compared to existing methods, the proposed approach is more scalable. It also allows multi-objective optimization taking into account both the overall control performance and the bus resource utilization. This approach generates a Pareto front representing the trade-offs between these two, which allows the engineers to make suitable design choices.read more
Citations
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Journal ArticleDOI
Automotive Cyber–Physical Systems: A Tutorial Introduction
Samarjit Chakraborty,Mohammad Abdullah Al Faruque,Wanli Chang,Dip Goswami,Marilyn Wolf,Qi Zhu +5 more
TL;DR: This tutorial gives an introduction to novices in CPS and particularly highlights the basics of control theory with respect to automotive applications and describes the “semantic gap” between control models and their implementation.
Book
Resource-aware Automotive Control Systems Design: A Cyber-Physical Systems Approach
Wanli Chang,Samarjit Chakraborty +1 more
TL;DR: Recently developed approaches in automotivecontrol systems design that take implementation resources intoconsideration are presented, aiming to improve the control performances for a givenamount of resources, or equivalently, realize the required control performances with fewer resources.
Proceedings ArticleDOI
Testing automotive embedded systems under X-in-the-loop setups
Ghizlane Tibba,Christoph Malz,Christoph Stoermer,Natarajan Nagarajan,Licong Zhang,Samarjit Chakraborty +5 more
TL;DR: The XiL approach implies fast development cycles due to easy integration of software, vehicle and plant components on the PC, and strives for seamless transition between X-in-the-loop setups, with X representing any control model, software, or hardware under test.
Journal ArticleDOI
Semantics-Preserving Cosynthesis of Cyber-Physical Systems
TL;DR: The evolution of design approaches for control-platform cosynthesis techniques are surveyed and it is shown how–the originally disjoint–controller and the platform design methods are gradually converging.
Journal ArticleDOI
OS-Aware Automotive Controller Design Using Non-Uniform Sampling
TL;DR: This article proposes a controller that cyclically switches among the available periods, thereby leading to an average sampling period closer to the optimal one, and shows that a higher number of applications can be packed on a processor, which is of particular interest in the cost-sensitive automotive industry.
References
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Applications of Multi-Objective Optimization Techniques in Radio Resource Scheduling of Cellular Communication Systems
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Journal ArticleDOI
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