Automated synthesis of cyber-physical systems from joint controller/architecture specifications

Roy, Debayan; Zhang, Licong; Chang, Wanli; Chakraborty, Samarjit

doi:10.1109/fdl.2016.7880389

Cited by 11 publications

(7 citation statements)

References 15 publications

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“…Similarly, Roy et al [11] consider the design of a (distributed) FlexRay-based embedded control system. Here, they co-optimize controller design together with the FlexRay schedule, resulting in a Pareto front depicting the trade-off between control performance and bus-utilization.…”

Section: Related Workmentioning

confidence: 99%

“…While Roy et al [11] and Aminifar et al [9], [10] consider offline optimization, Cervin et al [12] have previously studied online optimal sampling period assignment for multiple controllers running on a shared embedded platform. In their work, a cost associated with the performance of each controller given a certain sampling period is precomputed and stored in memory on the embedded platform.…”

Section: Related Workmentioning

confidence: 99%

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Leveraging Domain Knowledge for the Efficient Design-Space Exploration of Advanced Cyber-Physical Systems

Vanommeslaeghe

Denil

Viaene

et al. 2019

2019 22nd Euromicro Conference on Digital System Design (DSD)

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Cyber-physical systems are becoming increasingly complex. In these advanced systems, the different engineering domains involved in the design process become more and more intertwined. In these situations, a traditional (sequential) design process becomes inefficient in finding good designs options. Instead, an integrated approach is needed where parameters in both the control and embedded domain can be chosen, evaluated and optimized to have a good solution in both domains. However, in such an approach, the combined design space becomes vast. As such, methods are needed to mitigate this problem. In this paper, we show how domain knowledge can be used to guide the design-space exploration process for an advanced control system and its deployment on embedded hardware. We use domain knowledge, captured in an ontology, to reason about the relationships between parameters in the different domains. This leads to a stepwise design space-exploration process where this domain knowledge is used to quickly reduce the design space to a subset of likely good candidates. In this process, we make use of cross-domain evaluation to find feasible design options with good system-level performance.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Leveraging Domain Knowledge for the Efficient Design-Space Exploration of Advanced Cyber-Physical Systems

Vanommeslaeghe

Denil

Viaene

et al. 2019

2019 22nd Euromicro Conference on Digital System Design (DSD)

View full text Add to dashboard Cite

show abstract

“…This sequential approach might not lead to the most efficient or optimal design. Since modern plants are becoming increasingly more complex and the resources are always constrained by cost and space, a resource-efficient design has become an increasingly important issue [7].…”

Section: Need For Simultaneous Co-designmentioning

confidence: 99%

“…This results in sub-optimal designs and considerable integration, test and validation efforts. Therefore, there is a rising demand for systematic and comprehensive co-design methods to accomplish both the optimal hardware architecture and control configuration [7]. This means that a generically applicable procedure has to be developed in which both the placement and selection of the actuators and sensors have to be carried out, as well as the simultaneous determination of the control architecture and associated control parameters.…”

Section: Need For Simultaneous Co-designmentioning

confidence: 99%

Towards a generic optimal co-design of hardware architecture and control configuration for interacting subsystems

et al. 2019

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In plants consisting of multiple interacting subsystems, the decision on how to optimally select and place actuators and sensors and the accompanying question on how to control the overall plant is a challenging task. Since there is no theoretical framework describing the impact of sensor and actuator placement on performance, an optimization method exploring the possible configurations is introduced in this paper to find a trade-off between implementation cost and achievable performance.Moreover, a novel model-based procedure is presented to simultaneously co-design the optimal

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“…It is established that control-platform cosynthesis is necessary for safe and eficient implementation of embedded controllers. There exist some fundamental challenges that impede future advancement in this direction [184], [185].…”

Section: Challengesmentioning

confidence: 99%

Semantics-Preserving Cosynthesis of Cyber-Physical Systems

et al. 2018

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Automated synthesis of cyber-physical systems from joint controller/architecture specifications

Cited by 11 publications

References 15 publications

Leveraging Domain Knowledge for the Efficient Design-Space Exploration of Advanced Cyber-Physical Systems

Leveraging Domain Knowledge for the Efficient Design-Space Exploration of Advanced Cyber-Physical Systems

Towards a generic optimal co-design of hardware architecture and control configuration for interacting subsystems

Semantics-Preserving Cosynthesis of Cyber-Physical Systems

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