学习理论与鲁棒控制

Learning Theory and Robust Control

首先简要介绍了PAC(probablyapproximatelycorrect)学习理论的基本原理 ,分析了PAC学习理论在处理鲁棒控制中某些问题时的可行性和有效性 ,阐述了目前主要的研究结果 ,指出了存在的主要困难及未来的研究方向 ,另外也简要介绍了其在系统辨识方面的应用情况 .

The basic principle of PAC (probably approximately correct) learning theory is introduced, the feasibility and effectiveness in dealing with some robust control problems using PAC learning theory are analyzed, the main research results in the literature are presented, and the main difficulty and future research direction are also pointed out. In addition, the application of PAC learning theory in system identification is also summarized.\;