交换非线性时间延迟系统和神经网络应用的新型交换规律
IEEE transactions on cybernetics
|January 6, 2026
概括
本研究介绍了非线性时延系统的新型切换规律,平均切换密度和模式依赖的平均切换密度. 这些新方法增强了稳定性分析,并减少了交换系统中的保守主义.
科学领域:
- 控制系统工程 控制系统工程
- 非线性动力学是一种非线性动力学.
- 系统理论 系统理论
背景情况:
- 交换非线性时间延迟系统 (SNTDS) 需要有效的交换规律设计以保持稳定性.
- 像停留时间和ADT这样的现有方法可能无法完全捕捉切换动态.
- 稳定性标准中的保守主义限制了实际应用.
研究的目的:
- 为SNTDS提出新的切换规则:平均切换密度 (ASD) 和取决于模式的平均切换密度 (MDASD).
- 根据这些新的切换法律,为SNTDS制定宽松的稳定性标准.
- 将拟议的方法应用于交换神经网络.
主要方法:
- 引入ASD和MDASD来描述开关频率.
- 构建多个Lyapunov-Razumikhin函数的结构.
- 利用宽松的积分不等式和基于轨迹的方法.
- 切换神经网络稳定性分析的应用.
主要成果:
- 对于SNTDSs的新稳定性标准是在ASD和MDASD下得出的.
- 拟议的标准比现有方法少保守.
- 通过对交换神经网络的应用来证明有效性.
- 通过两个说明性例子进行验证.
结论:
- 拟议的ASD和MDASD切换法则提供了更准确的切换动态表示.
- 开发的稳定性标准提高了系统稳定性的保证,并减少了保守主义.
- 这种方法对于分析交换神经网络和其他SNTDS有效.
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