| u | -10 | -9 | -8 | -7 | -6 | -5 | -4 | -3 | -2 | -1 | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| -10 | 9.7 | 9.7 | 9.7 | 9.7 | 8 | 7 | 6 | 6 | 6 | 5 | 4 | 4 | 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 |
| -9 | 9.7 | 8.7 | 8.7 | 8.7 | 8 | 7 | 6 | 6 | 6 | 5 | 4 | 4 | 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 |
| -8 | 9.7 | 8.7 | 8 | 8 | 8 | 7 | 6 | 6 | 6 | 5 | 4 | 4 | 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 |
| -7 | 8.7 | 8.7 | 8 | 7 | 7 | 7 | 6 | 5 | 5 | 5 | 4 | 3 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 |
| -6 | 8 | 8 | 8 | 7 | 6 | 6 | 6 | 5 | 4 | 4 | 4 | 3 | 2 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 |
| -5 | 8 | 7 | 7 | 7 | 6 | 5 | 5 | 5 | 4 | 3 | 3 | 3 | 2 | 1 | 1 | 0 | -1 | -1 | -1 | -1 | -1 |
| -4 | 8 | 7 | 6 | 6 | 6 | 5 | 4 | 4 | 4 | 3 | 2 | 2 | 2 | 1 | 0 | -1 | -2 | -2 | -2 | -2 | -2 |
| -3 | 7 | 7 | 6 | 5 | 5 | 5 | 4 | 3 | 3 | 3 | 2 | 1 | 1 | 0 | -1 | -1 | -2 | -3 | -3 | -3 | -3 |
| -2 | 6 | 6 | 6 | 5 | 4 | 4 | 4 | 3 | 2 | 2 | 2 | 1 | 0 | -1 | -2 | -2 | -2 | -3 | -4 | -4 | -4 |
| -1 | 6 | 5 | 5 | 5 | 4 | 3 | 3 | 3 | 2 | 1 | 1 | 0 | -1 | -1 | -2 | -3 | -3 | -3 | -4 | -4 | -4 |
| 0 | 6 | 5 | 4 | 4 | 4 | 3 | 2 | 2 | 2 | 1 | 0 | -1 | -2 | -2 | -2 | -3 | -4 | -4 | -4 | -4 | -4 |
| 1 | 5 | 5 | 4 | 3 | 3 | 3 | 2 | 1 | 1 | 0 | -1 | -1 | -2 | -3 | -3 | -3 | -4 | -5 | -5 | -5 | -5 |
| 2 | 4 | 4 | 4 | 3 | 3 | 2 | 2 | 1 | 0 | -1 | -1 | -1 | -1 | -3 | -4 | -4 | -4 | -5 | -6 | -6 | -6 |
| 3 | 4 | 3 | 3 | 3 | 2 | 1 | 1 | 0 | -1 | -1 | -2 | -3 | -3 | -3 | -4 | -5 | -5 | -5 | -6 | -6 | -6 |
| 4 | 4 | 3 | 2 | 2 | 2 | 1 | 0 | -1 | -2 | -2 | -2 | -3 | -4 | -4 | -4 | -5 | -6 | -6 | -6 | -6 | -6 |
| 5 | 3 | 3 | 2 | 1 | 1 | 0 | -1 | -1 | -2 | -3 | -3 | -3 | -4 | -5 | -5 | -5 | -6 | -7 | -7 | -7 | -7 |
| 6 | 2 | 2 | 2 | 1 | 0 | -1 | -2 | -2 | -2 | -3 | -4 | -4 | -4 | -5 | -6 | -6 | -6 | -7 | -8 | -8 | -8 |
| 7 | 2 | 1 | 1 | 0 | -1 | -1 | -2 | -3 | -3 | -3 | -4 | -5 | -5 | -5 | -6 | -7 | -7 | -7 | -8 | -8.7 | -8.7 |
| 8 | 2 | 1 | 0 | -1 | -2 | -2 | -2 | -3 | -4 | -4 | -4 | -5 | -6 | -6 | -6 | -7 | -8 | -8 | -8 | -8.7 | -9.7 |
| 9 | 1 | 0 | -1 | -1 | -2 | -3 | -3 | -3 | -4 | -5 | -5 | -5 | -6 | -7 | -7 | -7 | -8 | -8.7 | -8.7 | -8.7 | -9.7 |
| 10 | 0 | -1 | -2 | -2 | -2 | -3 | -4 | -4 | -4 | -5 | -6 | -6 | -6 | -7 | -8 | -8 | -8 | -8.7 | -9.7 | -9.7 | -9.7 |
４ 仿真結果
這里以對象
此程序方便地實現(xiàn)了模糊推理的功能，免去了手工計算的麻煩。而且，不論變量的量化等級為多大，只要給定模糊控制器的輸入和輸出量的隸屬函數(shù)矩陣、控制規(guī)則矩陣、模糊量的特征向量矩陣，運行該軟件就可快速地獲得相應的模糊控制表。另外，該軟件可實現(xiàn)“∨—∧”、“∨—· ”、 “—∧”模糊算子運算及重心法、最大隸屬度原則模糊判決方法。因此，本文為模糊控制的研究和應用提供了方便的條件。
