优化输出同步欧勒-拉格朗日系统与不确定的时间变化的二次性成本函数
IEEE transactions on cybernetics
|March 4, 2025
概括
本研究解决了不确定的网络欧勒-拉格朗日系统的最佳输出同步问题. 研究人员开发了一个分布式自适应控制器,确保系统输出汇聚到时间变化的最佳解决方案,尽管存在不确定性.
科学领域:
- 控制系统工程 控制系统工程
- 网络化系统 网络化系统
- 优化理论 优化理论
背景情况:
- 网络系统经常面临不确定的参数和分布式控制目标的挑战.
- 最优输出同步问题 (OOSP) 要求系统输出跟踪一个动态的最佳解决方案.
- 现有的方法可能无法充分处理欧勒-拉格朗奇系统内的分布式优化问题的不确定性.
研究的目的:
- 为了研究不确定的网络欧勒-拉格朗日 (EL) 系统的最佳输出同步问题 (OOSP).
- 开发分布式自适应控制策略,以实现与时间变化的最佳解决方案同步.
- 在分布式二次优化问题的局部成本函数中处理不确定的参数.
主要方法:
- 一个具有适应性增益的集中控制器被设计为一个双集成器系统来跟踪最佳解决方案.
- 修改平均估计器被用来将集中设计扩展到EL系统的分布式实现.
- 使用矩阵痕迹特性和复合力普诺夫分析来证明趋同.
主要成果:
- 提出的分布式自适应控制器成功地引导系统输出向时间变化的最佳解决方案.
- 在不确定的条件下,系统输出在异常趋同到所需的时间变化的最佳解决方案.
- 用两个说明性示例进行了验证.
结论:
- 开发的分布式自适应控制方法有效地解决了不确定的网络EL系统的OOSP.
- 该方法在存在参数不确定性的情况下,确保了对动态最佳解决方案的稳健融合.
- 这些发现为复杂的网络控制系统中的同步任务提供了有价值的框架.
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