基于事件的生物害虫防治:一种LMI方法
M Sathishkumar1, Maya Joby2, Srimanta Santra3
1Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 603203, India.
Journal of theoretical biology
|November 3, 2024
概括
本研究介绍了一种事件触发的控制策略,通过优化自然敌人相互作用来管理甘 (Diatraea saccharalis) 种群. 这种方法确保了系统的稳定性,同时最大限度地减少了控制行动,并保护了有益的昆虫引入.
科学领域:
- 农业昆虫学 农业昆虫学
- 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:
- 甘的害虫管理依赖于了解昆虫种群动态.
- 生物防治剂如Trichogramma galloi和Cotesia flavipes对于可持续的害虫防治至关重要.
- 需要有效的控制策略来管理甘 (Diatraea saccharalis) 种群.
研究的目的:
- 开发一个事件触发的可靠的状态反控制器,用于甘钻井系统.
- 尽量减少自然敌人的数量,同时确保系统的稳定性.
- 为了减少控制更新,并保持有益的昆虫引入.
主要方法:
- 昆虫互动的数学建模 (甘,Trichogramma galloi,Cotesia flavipes). 昆虫互动的数学建模.
- 事件触发状态反控制器的数字控制设计和实现.
- 对甘钻井系统进行模拟分析,以验证控制策略.
主要成果:
- 拟议的事件触发控制器有效地稳定了甘钻井系统.
- 与传统方法相比,控制更新的显著减少.
- 成功地维持自然敌人种群,并将其引入环境.
结论:
- 事件触发控制为管理Diatraea saccharalis提供了一个有效的策略.
- 开发的控制器提高了甘种植中的害虫管理可持续性.
- 这种方法平衡了害虫抑制与生物控制剂的保存.
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