通过基于粒子群优化的自适应动态编程,为无与伦比的相互连接系统提供分散的事件触发追踪控制
IEEE transactions on cybernetics
|October 1, 2024
概括
本研究介绍了针对复杂非线性大规模互连系统 (LSIS) 的分散事件触发追踪控制 (ETTC) 策略. 该方法通过优化通信和计算来提高控制效率,确保系统稳定性.
科学领域:
- 控制系统工程 控制系统工程
- 非线性系统动态 非线性系统动态
- 人工智能在控制中
背景情况:
- 大规模互联系统 (LSIS) 由于日益复杂,因此存在重大控制挑战.
- 现有的控制策略经常与无法匹配的相互连接的术语和不对称的输入约束作斗争.
- 高效的资源利用 (通信带宽,计算) 对于实际的LSIS控制至关重要.
研究的目的:
- 为连续时间非线性LSIS开发一种新的去中心化事件触发追踪控制 (ETTC) 战略.
- 为了应对无可匹配的相互连接术语和不对称的输入约束所带来的挑战.
- 通过事件触发机制来减少通信和计算负载.
主要方法:
- 辅助子系统的设计是为了处理无法匹配的交叉连接条款.
- 通过结合跟踪错误和外系统动态,构建了一个名义增强子系统.
- 使用非二次性性能函数和适应性动态编程 (ADP) 与只有批评网络.
- 集成了粒子群优化算法 (PSOA) 来增强神经网络训练.
- 利亚普诺夫延伸定理被用来证明系统稳定性和边界追踪错误.
主要成果:
- 拟议的ETTC战略有效地管理了无与伦比的相互连接条款和不对称的输入约束.
- 事件触发条件显著节省通信带宽和计算资源.
- 适应动态编程方法成功地解决了相关的汉密尔顿-雅各比-贝尔曼方程.
- 统一最终边界 (UUB) 追踪错误和神经网络权重被数学证明.
结论:
- 新型去中心化的ETTC战略为复杂的非线性LSIS提供了强大而高效的解决方案.
- 事件触发和ADP与PSOA优化的集成为资源受限控制提供了一个有希望的方法.
- 模拟结果验证了拟议方法对无可匹配的互连系统的有效性.
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