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Advanced DOA Regulation with a Whale-Optimized Fractional Order Fuzzy PID Framework
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研究提出一种结合模糊逻辑和分数阶动态的FOFPID控制器,利用鲸鱼优化算法调整参数,在模拟不同患者模型中表现优于FOPID控制器,实现快速稳定和低误差,为麻醉自动化提供智能化解决方案。

arXiv:2508.12487v1 Announce Type: new Abstract: This study introduces a Fractional Order Fuzzy PID (FOFPID) controller that uses the Whale Optimization Algorithm (WOA) to manage the Bispectral Index (BIS), keeping it within the ideal range of forty to sixty. The FOFPID controller combines fuzzy logic for adapting to changes and fractional order dynamics for fine tuning. This allows it to adjust its control gains to handle a person's unique physiology. The WOA helps fine tune the controller's parameters, including the fractional orders and the fuzzy membership functions, which boosts its performance. Tested on models of eight different patient profiles, the FOFPID controller performed better than a standard Fractional Order PID (FOPID) controller. It achieved faster settling times, at two and a half minutes versus three point two minutes, and had a lower steady state error, at zero point five versus one point two. These outcomes show the FOFPID's excellent strength and accuracy. It offers a scalable, artificial intelligence driven solution for automated anesthesia delivery that could enhance clinical practice and improve patient results.

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FOFPID控制器 麻醉效果 鲸鱼优化算法 分数阶动态 模糊逻辑
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