对于具有不完善测量的连续半马尔科夫跳跃系统的事件触发的减少顺序过
IEEE transactions on cybernetics
|August 1, 2024
概括
这项研究为半马尔科夫跳跃系统引入了一个事件触发的减少顺序过器,提高稳定性和性能,尽管存在不确定性和不完美的测量.
科学领域:
- 控制系统工程 控制系统工程
- 随机系统分析 随机系统分析
- 信号处理 信号处理
背景情况:
- 半马尔科夫跳跃系统是复杂的,因为它们的状态依赖的过渡概率.
- 不完美的测量和随机发生的不确定性 (ROU) 挑战过器设计.
- 事件触发过旨在减少通信和计算负载.
研究的目的:
- 为连续时间的半马尔科夫跳跃系统设计事件触发的减少顺序过器.
- 为了应对多重点,停留时间依赖的过渡概率矩阵 (TPM) 和信号量化所带来的挑战.
- 为了计算随机发生的不确定性 (ROU) 和传感器故障.
主要方法:
- 使用基于散射性的技术来保证过错误系统的非对称稳定性和散射性性能.
- 对于时间变化的TPM,采用多类型表示,并将其分类化以获得更好的结果.
- 引入宽松对称矩阵和圆互补线性化算法用于过器参数导出.
主要成果:
- 建立了足够的条件,以实现事件触发的减少顺序过器的存在.
- 拟议的过器确保了对过错误系统的严格消散性能的非对称稳定性.
- 模拟结果验证了开发的事件触发式减少顺序过器设计的有效性.
结论:
- 开发的事件触发的减少顺序过器有效地处理具有复杂不确定性和不完美的测量的半马尔科夫跳跃系统.
- 基于散散性的方法为确保系统稳定性和性能提供了一个强大的框架.
- 该方法为需要在具有挑战性的条件下高效过的现实应用提供了实用解决方案.
相关概念视频
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