系统识别的合理地图
Rajiv Singh1, Tianyu Dai1, Mario Sznaier2
1The MathWorks Inc., 1 Apple Hill Drive, Natick, MA 01760 USA.
概括
这项研究引入了用于识别时间变化的复杂非线性系统的理性地图. 这些方法提供了从输入输出数据中识别系统的计算效率高的算法.
科学领域:
- 系统工程
- 控制理论
- 信号处理
背景情况:
- 精确识别动态系统对于控制和分析至关重要.
- 传统的方法与时间变化和非线性系统复杂性作斗争.
研究的目的:
- 将理性地图作为识别复杂系统的新方法.
- 证明这种识别方法的计算效率和灵活性.
主要方法:
- 使用时间,频率和相关领域的理性地图.
- 从定义的时间框架的输入输出测量分析系统识别.
主要成果:
- 合理地图为系统识别提供了有效的框架.
- 提出的方法导致计算效率高的算法.
- 这种方法可以灵活地捕捉复杂的系统行为.
结论:
- 理性地图是识别时间变化和非线性系统的强大工具.
- 这种方法提高了系统识别过程的效率和准确性.
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