
doi: 10.5772/36946
The classical proportional-derivative (PD) control is relatively easy to design, but useful for fast response controllers by combining proportional control and derivative control in parallel. However, as PD control is linear, it is not able to be used to deal with non-linear plants. An answer to this problem is fuzzy-logic control, which is also a model-free control scheme and can be applied to systems where mathematical models cannot be obtained. Besides, natural heuristic rules in linguistic expressions that reflect human experiences can be applied in the control design, minimizing the design cost. Fuzzy-logic controllers (FLCs) are the control systems based on a knowledge consisting of the so-called fuzzy IF-THEN rules.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
