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复杂动态网络与和执行器的采样数据指数同步.
1College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China.
Entropy (Basel, Switzerland)
|September 27, 2024
概括
本研究开发了一个用于具有输入和和传输延迟的复杂动态系统 (CDN) 的内存采样数据控制器. 该方法确保了指数级同步,并估计了吸引力盆地.
科学领域:
- 控制理论 控制理论
- 动态系统 动态系统
- 非线性控制是指非线性控制.
背景情况:
- 复杂的动态系统 (CDN) 经常表现出输入和,限制了控制的有效性.
- 传输延迟在实现稳定的同步方面带来了重大挑战.
- 现有的方法可能无法同时充分解决和和延迟问题.
研究的目的:
- 为具有输入和的复杂动态系统 (CDN) 设计一个指数级同步控制器.
- 以记忆采样数据方法来考虑传输延迟的影响.
- 估计和扩大同步系统的吸引区域.
主要方法:
- 一个内存采样数据控制器的设计是为了处理输入和和传输延迟.
- 构建一个修改的双面循环函数,考虑当前和延迟状态信息.
- 足够的指数同步标准是使用利亚普诺夫稳定性理论来得出的.
主要成果:
- 拟议的控制器保证了CDN的指数级同步,具有输入和和传输延迟.
- 该方法提供了对同步错误的吸引流域的估计.
- 介绍了一个优化算法来扩大吸引区域.
结论:
- 开发的内存采样数据控制策略有效地实现了复杂动态系统在输入和和传输延迟的情况下的指数级同步.
- 拟议的方法提供了一个强大的方法来分析和增强这些系统的稳定性和性能.
- 数字模拟验证了理论发现,并证明了控制器的实际适用性.
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