通过传感器网络进行自适应自触发的分布式过,其概率部分未知
Zhongqi Li1, Fengzeng Zhu1, Ancai Zhang1
1School of Automation and Electrical Engineering, Linyi University, Linyi, 276005, China.
ISA transactions
|March 11, 2025
概括
本研究介绍了一种适应性自触发策略 (ASTS),用于分布式估计,减少未知通信模式的网络中的能源使用. 该方法通过先进的过器设计和验证来确保可靠的估计.
科学领域:
- 控制工程 控制工程 控制工程
- 网络化系统 网络化系统
- 信号处理 信号处理
背景情况:
- 分布式估计系统由于连续的通信,经常面临能源消耗方面的挑战.
- 网络拓动态,特别是部分未知的过渡概率,使过器设计复杂化.
- 尽量减少通信开销对于大规模网络系统的效率至关重要.
研究的目的:
- 开发一种使用拓交换结构的新型分布式估计方法.
- 引入自适应式自动触发策略 (ASTS) 以尽量减少节点间通信的能源消耗.
- 设计和验证一个强大的过器,能够处理时间变化的网络拓与概率切换.
主要方法:
- 建模网络通信拓作为一个由同质的马尔科夫链控制的时间变化的过程.
- 采用自适应自触发策略 (ASTS) 来优化沟通事件.
- 使用利亚普诺夫稳定理论和线性矩阵不等式 (LMI) 方法来确定波器参数.
- 检查过器设计可行性和性能.
主要成果:
- 拟议的自主触发的自适应策略有效地减少了分布式估计中的能源消耗.
- 过器设计适用于由未知数据的概率过渡矩阵管理的网络拓切换.
- 利亚普诺夫稳定理论和LMI方法成功确定了波器参数,确保了可行性.
- 数字模拟和实验验证证证实了该方法的有效性.
结论:
- 使用ASTS开发的分布式估计方法为网络系统提供了显著的能源节约.
- 该方法提供了一个强大的框架来处理动态和部分未知的网络拓.
- 该方法得到了实际应用的验证,通过连续动的坦克反应堆实验来证明.
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