Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
Control-Oriented Scheduling with Time Slack Ratio in Adaptive Systems. / Tarasova, E.; Granichin, O.; Granichina, O.; Rodríguez-Cortés, H. (редактор).
в: IFAC-PapersOnLine, Том 59, № 14, 2025, стр. 150-154.Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
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TY - JOUR
T1 - Control-Oriented Scheduling with Time Slack Ratio in Adaptive Systems
AU - Tarasova, E.
AU - Granichin, O.
AU - Granichina, O.
A2 - Rodríguez-Cortés, H.
N1 - Export Date: 16 February 2026; Cited By: 0; Conference name: 15th IFAC Workshop on Adaptive and Learning Control Systems, ALCOS 2025; Conference location: Mexico City; Conference date: 2025-07-02 through 2025-07-04
PY - 2025
Y1 - 2025
N2 - This paper introduces a control-oriented scheduling approach based on the time slack ratio for adaptive human-to-human queuing systems. The proposed method prioritizes task assignments dynamically, using a slack-based decision-making criterion that ensures efficient task execution under uncertainty. A theoretical analysis establishes competitive performance guarantees by comparing the online and offline scheduling solutions. The results indicate that the algorithm effectively minimizes lateness and task delays in high-load environments where the number of concurrent tasks significantly exceeds the slack ratio parameter. Future research directions include the development of improved heuristics and adaptive scheduling strategies to enhance system performance. © © 2025 The Authors.
AB - This paper introduces a control-oriented scheduling approach based on the time slack ratio for adaptive human-to-human queuing systems. The proposed method prioritizes task assignments dynamically, using a slack-based decision-making criterion that ensures efficient task execution under uncertainty. A theoretical analysis establishes competitive performance guarantees by comparing the online and offline scheduling solutions. The results indicate that the algorithm effectively minimizes lateness and task delays in high-load environments where the number of concurrent tasks significantly exceeds the slack ratio parameter. Future research directions include the development of improved heuristics and adaptive scheduling strategies to enhance system performance. © © 2025 The Authors.
KW - adaptive control
KW - competitive analysis
KW - online scheduling
KW - real-time system
KW - time slack ratio
KW - Adaptive control systems
KW - Computer control systems
KW - Decision making
KW - Information systems
KW - Interactive computer systems
KW - Man machine systems
KW - Online systems
KW - Scheduling algorithms
KW - Adaptive Control
KW - Competitive analysis
KW - Decision making criteria
KW - Online scheduling
KW - Queuing systems
KW - Real - Time system
KW - Task executions
KW - Tasks assignments
KW - Time slack
KW - Time slack ratio
KW - Real time systems
U2 - 10.1016/j.ifacol.2025.12.141
DO - 10.1016/j.ifacol.2025.12.141
M3 - статья в журнале по материалам конференции
VL - 59
SP - 150
EP - 154
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
SN - 2405-8971
IS - 14
Y2 - 2 July 2025 through 4 July 2025
ER -
ID: 148838241