Local adjustment and global adaptation of control periods for QoC management of control systems
YC Tian, X Jiang, DC Levy… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
YC Tian, X Jiang, DC Levy, A Agrawala
IEEE transactions on control systems technology, 2011•ieeexplore.ieee.orgLinking 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 brief 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 …
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 brief 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 …
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 brief 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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