Learning about dynamical systems via unfalsification of hypotheses
Learning about dynamical systems via unfalsification of hypotheses
复制标题
通过反证假说来了解动力系统
DOI：
10.1002/rnc.924
复制
发表时间：
2004
影响因子：
3.9
通讯作者：
M. Safonov
中科院分区：
文献类型：
--
作者：
P. Brugarolas;M. Safonov
本文探讨的问题，学习行为的动力系统从实验数据通过证伪的假设内的行为方法系统理论的威廉姆斯。动态系统的行为假设为假设，然后对实验数据进行测试。提出了一个简单而简明的核实验数据证伪假设的条件。该方法适用于学习模型的工厂和适应控制器，以满足性能和鲁棒性的目标。版权所有© 2004年约翰威利父子有限公司。
This paper examines the problem of learning behaviours of a dynamical system from experimental data via unfalsification of hypotheses within the behavioural approach to system theory of Willems. Behaviours of the dynamic systems are postulated as hypotheses and then tested against experimental data. A simple and concise condition for falsification of hypotheses by experimental data in terms of a kernel is presented. The approach is applicable both to learning models for a plant and to adapting controllers to satisfy performance and robustness goals. Copyright © 2004 John Wiley & Sons, Ltd.