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<p>Adaptive Harmonic Scheduling (AHS) is a novel real-time scheduling algorithm designed for high-precision medical dosage control in embedded systems. Unlike traditional techniques like Rate Monotonic Scheduling (RMS) and Earliest Deadline First (EDF), AHS dynamically prioritizes tasks based on second-order error dynamics, crucial for systems using Proportional-Integral-Derivative-Acceleration (PIDA) controllers. It integrates Lyapunov-based stability analysis, energy-aware slack reclamation, and intelligent preemption thresholds to enhance responsiveness and minimize jitter. Empirical results show AHS achieves &lt; 5μs jitter, 35 ms settling time, and 60° phase margin, outperforming existing schedulers. With real-time PID gain tuning and stability assurance under strict temporal constraints, AHS offers a robust framework for safety-critical medical applications requiring adaptive precision and energy efficiency.</p>

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A stable adaptive harmonic scheduling: a precision RTOS framework for 2nd-order medical control systems

  • 期刊论文

  • 发表日期：

    2025年10月9日

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  • Vinod Babu Pusuluri,
  • A. M. Prasad,
  • Naresh K. Darimireddy,
  • Mownish Bugatha

摘要

Adaptive Harmonic Scheduling (AHS) is a novel real-time scheduling algorithm designed for high-precision medical dosage control in embedded systems. Unlike traditional techniques like Rate Monotonic Scheduling (RMS) and Earliest Deadline First (EDF), AHS dynamically prioritizes tasks based on second-order error dynamics, crucial for systems using Proportional-Integral-Derivative-Acceleration (PIDA) controllers. It integrates Lyapunov-based stability analysis, energy-aware slack reclamation, and intelligent preemption thresholds to enhance responsiveness and minimize jitter. Empirical results show AHS achieves < 5μs jitter, 35 ms settling time, and 60° phase margin, outperforming existing schedulers. With real-time PID gain tuning and stability assurance under strict temporal constraints, AHS offers a robust framework for safety-critical medical applications requiring adaptive precision and energy efficiency.