分析和控制半马尔科夫跳跃线性系统在持续的干扰下,通过充分利用碎片化的内核完全利用
IEEE transactions on cybernetics
|December 3, 2025
概括
本研究涉及不完全信息的离散时间半马尔科夫跳跃系统 (SMJS) 的稳定性和控制. 新方法利用所有已知的数据,并对缺失的部件进行近似计算,以提高系统性能和局限性.
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
- 应用数学 应用数学 应用数学
背景情况:
- 离散时间半马尔科夫跳跃系统 (SMJS) 由于潜在的碎片化半马尔科夫内核 (SMK) 信息而存在挑战.
- 随机过程的不完整的统计表征需要强大的分析和控制方法.
研究的目的:
- 开发新的方法来分析SMJS的稳定性,边界性和稳定性控制,使用碎片式SMK.
- 加强利用现有的SMK信息,并纳入近似的未知SMK数据.
主要方法:
- 通过利用所有已知的SMK信息,提出了稳定性和控制的新标准.
- 引入了多重点方法来近似未知的SMK信息.
- 为了提高可行性,构建了一个多类型的二次立方Lyapunov-like函数 (LF).
主要成果:
- 获得了稳定性和控制的新标准,与现有方法相比,提高了可行性.
- 确保了闭环SMJLS的平均正方形意义上的最终边界性.
- 通过结合已知和近似的SMK信息,证明了更好的性能.
结论:
- 提出的方法有效地处理SMJS中的零碎的SMK信息.
- 多地形近似和LF提高了分析和控制设计的可行性.
- 该方法通过数值和模拟化学过程示例来验证.
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