http://ieeexplore.ieee.org TOC Alert for Publication# 3477 2013 May 16 42 6 C1 C1 142 42 6 C2 C2 135 42 6 1509 1523 731 42 6 1524 1537 1629 42 6 1538 1549 436 42 6 1550 1559 1317 42 6 1560 1573 1052 H_∞ model reduction for Takagi-Sugeno (T-S) fuzzy stochastic systems. For a given mean-square stable T-S fuzzy stochastic system, our attention is focused on the construction of a reduced-order model, which not only approximates the original system well with an H_∞ performance but also translates it into a linear lower dimensional system. Then, the model reduction is converted into a convex optimization problem by using a linearization procedure, and a projection approach is also presented, which casts the model reduction into a sequential minimization problem subject to linear matrix inequality constraints by employing the cone complementary linearization algorithm. Finally, two numerical examples are provided to illustrate the effectiveness of the proposed methods.]]> 42 6 1574 1585 297 42 6 1586 1598 877 42 6 1599 1607 1314 42 6 1608 1619 264 42 6 1620 1632 1078 42 6 1633 1644 1299 42 6 1645 1653 296 42 6 1654 1668 1136 42 6 1669 1692 877 42 6 1693 1704 1658 42 6 1705 1723 401 42 6 C3 C3 29 42 6 C4 C4 107