文献类型： 会议论文

第一作者： Orsolya Csiszár

作者： Orsolya Csiszár ¹ ; Gábor Csiszár ² ; Olga Kosheleva ³ ; Martine Ceberio ⁴ ; Vladik Kreinovich ⁴ ;

作者机构： 1.Research Center for Complex Systems, Aalen University|Institute of Applied Mathematics, John von Neumann Faculty of Informatics, óbuda University

2.Biomatics and Applied AI Institute, John von Neumann Faculty of Informatics, óbuda University

3.Department of Teacher Education, University of Texas at El Paso, El Paso, Texas, USA

4.Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

关键词： Fuzzy control;Optimal control;Robustness;Computational intelligence

会议名称： IEEE Symposium Series on Computational Intelligence

主办单位：

页码： 501-505

摘要： In many practical situations, practitioners use easier-to-compute fuzzy control to approximate the more-difficult-to-compute optimal control. As expected, for many characteristics, this approximate control is slightly worse than the optimal control it approximates. However, with respect to robustness or smoothness, the approximating fuzzy control is often better than the original one. In this paper, we provide a theoretical explanation for this somewhat mysterious empirical phenomenon.

分类号： tp3