对于具有多个延迟和自适应输出合的 DCRDNN 的有限时间 H∞ 输出同步
Qian Qiu1, Yin Chen2, Housheng Su3
1School of Artificial Intelligence, Henan University, Zhengzhou 450046, China.
概括
本研究探讨了复杂神经网络中具有适应性合和干扰的有限时间H∞输出同步. 新的自适应规律和控制器确保了通过模拟验证的同步.
科学领域:
- 控制系统工程 控制系统工程
- 计算神经科学是一种神经科学.
- 应用数学 应用数学 应用数学
背景情况:
- 反应扩散神经网络 (DCRDNNs) 对于模拟复杂的时空动态至关重要.
- 对于分布式信息处理和安全通信,DCRDNN的同步是必不可少的.
- 现有的方法经常与有限时间的融合和外部干扰作斗争.
研究的目的:
- 调查和解决DCRDNN的有限时间H∞输出同步 (FTHOS) 问题.
- 为具有多个延迟和自适应输出合的系统开发适应性控制策略.
- 在外部干扰下分析同步性能.
主要方法:
- 根据输出信息来调整输出合重量的适应性规律的设计.
- 开发一个控制器来实现FTHOS.
- 在没有干扰的情况下,为有限时间输出同步 (FTOS) 制定一个必然结果.
- 关于H∞输出同步 (HOS) 与延迟合的新型自适应方案的建议.
主要成果:
- 拟议的适应性法律和控制器成功地确保了DCRDNN的FTHOS.
- 一个没有外部干扰的具体案例在FTOS上产生了必然结果.
- 一个新的适应性方案保证了延迟合的DCRDNN中的HOS.
- 模拟结果验证了开发的同步标准的有效性.
结论:
- 该研究为DCRDNN中的有限时间同步问题提供了有效的解决方案.
- 适应性控制策略对外部干扰和网络延迟有很强的抵抗力.
- 这些发现有助于对同步神经网络的理论理解和实际应用.
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