A feedback scheduler for real-time controller tasks

Eker, Johan; Hagander, Per; Årzén, Karl-Erik

doi:10.1016/s0967-0661(00)00086-1

Cited by 112 publications

(104 citation statements)

References 13 publications

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“…Therefore, varying sampling or event-based control represent new tools to control the execution resources consumption. Finally, computing devices such as real-time schedulers are also likely to be controlled by feedback laws, as used in the founding paper (Eker, Hagander, and Arzen (2000)) where a feedback scheduler computes on-the-fly the control intervals of concurrent LQ controllers. However approaches gathering real-time scheduling and feedback control considerations are still quite rare.…”

Section: Joint Control and Schedulingmentioning

confidence: 99%

Real-time control systems: feedback, scheduling and robustness

Simon

Seuret

Sename

2017

International Journal of Systems Science

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The efficient control of real-time distributed systems, where continuous components are governed through digital devices and communication networks, needs a careful examination of the constraints arising from the different involved domains inside co-design approaches. Thanks to the robustness of feedback control, both new control methodologies and slackened real-time scheduling schemes are proposed beyond the frontiers between these traditionally separated fields. A methodology to design robust aperiodic controllers is provided, where the sampling interval is considered as a control variable of the system. Promising experimental results are provided to show the feasibility and robustness of the approach.

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Section: Joint Control and Schedulingmentioning

confidence: 99%

Real-time control systems: feedback, scheduling and robustness

Simon

Seuret

Sename

2017

International Journal of Systems Science

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“…2 links real-time scheduling directly to the QoC. While the QoC can be evaluated by an integral form of the control error e, e.g., IAE, ITAE, etc., simplified QoC computation, e.g., linear approximation, is shown to be effective for real-time control [19], [48]. This work uses e and its one-step difference δe = e − e old to characterize the QoC.…”

Section: A Qoc Characterizationmentioning

confidence: 99%

Local Adjustment and Global Adaptation of Control Periods for QoC Management of Control Systems

Tian

Jiang

Levy

et al. 2012

IEEE Trans. Contr. Syst. Technol.

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Abstract-Linking real-time schedulability directly to the Quality of Control (QoC), the ultimate goal of a control system, a hierarchical feedback QoC management framework with the Fixed Priority (FP) and the Earliest-Deadline-First (EDF) policies as plug-ins is proposed in this paper for real-time control systems with multiple control tasks. It uses a task decomposition model for continuous QoC evaluation even in overload conditions, and then employs heuristic rules to adjust the period of each of the control tasks for QoC improvement. If the total requested workload exceeds the desired value, global adaptation of control periods is triggered for workload maintenance. A sufficient stability condition is derived for a class of control systems with delay and period switching of the heuristic rules. Examples are given to demonstrate the proposed approach.

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“…[5] about closed-loop performance. Finally, a LMI formulation, which guarantees the stability of the control, is given in section 3.4.…”

Section: Performance and Stabilitymentioning

confidence: 99%