Event Density Analysis for Event Triggered Control Systems

Bund, Tobias; Menhorn, Benjamin; Slomka, Frank

doi:10.7873/date.2013.233

Cited by 2 publications

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“…For the event activation, there exists the arrival curve, that enables an integration between event generations in the functional model and the timings of the platform architecture [15], [1]. With the delay density, our work aims to provide a similar model for the delay behavior.…”

Section: Introductionmentioning

confidence: 99%

A delay density model for networked control systems

Bund¹,

Slomka²

2013

Proceedings of the 21st International Conference on Real-Time Networks and Systems

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In networked control systems, a physical process interacts with digital computation and networks. Such systems are often called cyber-physical systems. To ensure a safe and reliable operation of such systems, timing aspects must be considered in the design process.This work introduces the delay density, a new delay model that links the timing requirements of the functional system with the underlying platform architecture. Thereby, the delay density describes the maximum and minimum cumulative delay in an interval of events. The delay density allows to specify the timing requirements in an expressive way and on the other hand defines guaranteed delay bounds.We show in this paper how to derive the delay specification from a control system and how to use real-time analysis methods to verify the delays.

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Section: Introductionmentioning

confidence: 99%

A delay density model for networked control systems

Bund¹,

Slomka²

2013

Proceedings of the 21st International Conference on Real-Time Networks and Systems

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“…However, to provide schedulability guarantees, the authors consider the minimum inter-arrival time for all possible initial states, which is extremely pessimistic and defeats the purpose of the self-triggered control paradigm. In [BMS13], the authors discuss an approximate 1 1.3. SUMMARY OF CONTRIBUTIONS 11 maximum inter-event time for event-triggered controllers, justified by the fact that a more regular execution pattern of event-triggered controllers leads to better schedulability results for other tasks.…”

Section: State Of the Artmentioning

confidence: 99%

Analysis, Design, and Optimization of Embedded Control Systems

Aminifar

2016

Linköping Studies in Science and Technology. Dissertations

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T oday, many embedded or cyber-physical systems, e.g., in the automotive domain, comprise several control applications, sharing the same platform. It is well known that such resource sharing leads to complex temporal behaviors that degrades the quality of control, and more importantly, may even jeopardize stability in the worst case, if not properly taken into account.In this thesis, we consider embedded control or cyber-physical systems, where several control applications share the same processing unit. The focus is on the control-scheduling co-design problem, where the controller and scheduling parameters are jointly optimized. The fundamental difference between control applications and traditional embedded applications motivates the need for novel methodologies for the design and optimization of embedded control systems. This thesis is one more step towards correct design and optimization of embedded control systems.Offline and online methodologies for embedded control systems are covered in this thesis. The importance of considering both the expected control performance and stability is discussed and a controlscheduling co-design methodology is proposed to optimize control performance while guaranteeing stability. Orthogonal to this, bandwidthefficient stabilizing control servers are proposed, which support compositionality, isolation, and resource-efficiency in design and co-design. Finally, we extend the scope of the proposed approach to non-periodic control schemes and address the challenges in sharing the platform with self-triggered controllers. In addition to offline methodologies, v a novel online scheduling policy to stabilize control applications is proposed. The research presented in this thesis has been partially funded by CUGS (the National Graduate School in Computer Science in Sweden), Ericsson's Research Foundation, eLLIIT (Excellence Center at Linköping-Lund on Information Technology), and the Swedish Research Council.Populärvetenskaplig Sammanfattning I dag omfattar många inbyggda system flera styrapplikationer som delar samma plattform. Dessa system används inom exempelvis bilindustrin, processindustrin och flygelektronik, för att nämna några. Det är välkänt att en sådan resursdelning leder till komplexa tidsbeteenden som försämrar kvaliteten på regleringen och i värsta fall kan även stabiliteten förloras.I denna avhandling betraktar vi inbyggda styrsystem, där flera styrapplikationer delar samma behandlingsenhet. Här har vi valt att fokusera på reglering-schemaläggning co-designproblemet. Till skillnad från traditionella inbyggda system där regleringsparametrarna och schemaläggningsparametrarna optimeras separat, behöver vi nu för inbyggda styrsystem optimera dessa samtidigt, vilket ger upphov till nya metoder. Denna avhandling är ytterligare ett steg mot effektiv design och optimering av inbyggda styrsystem.vii

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Event Density Analysis for Event Triggered Control Systems

Cited by 2 publications

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A delay density model for networked control systems

A delay density model for networked control systems

Analysis, Design, and Optimization of Embedded Control Systems

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