通过强大的H∞和滑动模式控制方法,通过使用化疗和抗血管原药物治疗癌症,推导出合适的时间表
1Department of Mechanical Engineering, Sharif University of Technology, Tehran, PO. Box: 11155-9567, Iran.
Computers in biology and medicine
|May 10, 2025
概括
这项研究开发了用于癌症化疗的新型控制算法,使用动态模型和药物调度证明了有效的癌细胞减少. 滑动模式控制器在治疗计划中的不确定性方面表现强.
科学领域:
- 在瘤学瘤学.
- 控制系统工程 控制系统工程
- 数学生物学 数学生物学
背景情况:
- 化疗和抗血管生成药物是血管生成相关癌症的关键治疗方法.
- 控制药物输送时间表对于有效的癌症治疗至关重要.
- 动态建模提供了对癌症生长等复杂生物系统的洞察力.
研究的目的:
- 开发和评估用于优化癌症治疗的先进控制算法.
- 研究滑动模式控制和强大的H∞控制在控制癌细胞群中的有效性.
- 在动态癌症模型中评估不同时间步骤对治疗结果的影响.
主要方法:
- 一个现实的非线性动态模型模拟正常细胞,癌细胞,内皮细胞和药物度.
- 实现基于μ合成的滑动模式控制 (SMC) 和强大的H∞控制.
- 在连续和离散时间域中模拟药物调度策略.
主要成果:
- 无论是SMC还是强大的H∞控制都表现出每日时间步骤的令人满意的性能,有效降低癌细胞度.
- 对于长达7天的时间步骤,SMC保持了良好的表现.
- 强大的H∞控制对于超过一天的时间步骤变得不稳定,突出了对离散治疗间隔的敏感性.
结论:
- 拟议的药物调度算法,特别是SMC,通过将癌细胞度降至零,显示出有效的癌症治疗的希望.
- 滑动模式控制为管理癌症治疗中的参数不确定性提供了一个强大的和可适应的策略.
- 该研究强调了适当的时间步骤选择在癌症治疗模型的离散时间控制中的重要性.
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