非线性系统的知识数据驱动的最佳控制及其在废水处理过程中的应用.
IEEE transactions on cybernetics
|June 13, 2024
概括
本研究介绍了基于知识数据的最佳控制 (KDDOC),以提高非线性系统的性能. KDDOC适应不断变化的需求,通过智能参数设置和解决方案搜索确保最佳运行.
科学领域:
- 控制工程 控制工程 控制工程
- 人工智能的人工智能
- 系统动力学系统动力学
背景情况:
- 传统的最佳控制与非线性系统中动态变化的操作需求作斗争.
- 在变化条件下实现可靠的最佳解决方案,以满足变化条件下的性能仍然是一个挑战.
研究的目的:
- 为非线性系统设计一个新的知识数据驱动的最佳控制 (KDDOC) 框架.
- 增强具有动态运行要求的系统的最佳控制的适应性和效率.
主要方法:
- 使用历史数据来动态预设KDDOC参数的自适应初始化策略.
- 一个以知识为导向的全球最佳选择机制,以在不同的需求下寻找最佳解决方案.
- 一种以知识为导向的利用机制,以加快解决过程并提高响应速度.
主要成果:
- 通过自适应参数设置,KDDOC显示了增强的初始性能.
- 实现了动态的最佳解决方案,使其能够适应系统运行中的灵活变化.
- 改进的需求响应速度确保了不同状态的最佳系统性能.
结论:
- 拟议的KDDOC有效地解决了非线性系统传统最佳控制的局限性.
- 在动态条件下,KDDOC提供了一个强大的,适应性的解决方案,以保持最佳运行.
- 通过模拟和实际过程的验证证实了KDDOC方法的有效性.
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