中文摘要：

适应 Type-2 模糊控制比传统的适应模糊控制更好拥有控制性能。然而，重计算负担显然在工业申请堵住适应 Type-2 模糊控制的利用。由采用新奇 piecewise 模糊集合和中心一般水准类型减小，包含更少的计算的一个简化适应间隔 Type-2 模糊控制器为实际工业申请被开发。在建议控制器，输入被划分成模糊集合各被用于的几个子区间然后二 piecewise 子区间。与 piecewise 的方式模糊集合和一台新奇模糊规则推理引擎，仅仅模糊规则的部分同时在一个控制环被激活，它指数地减少计算并且在工业申请使控制器适当。模拟和试验性的学习，包含流行磁性的悬浮站台，与理论稳定性和好追踪性能显示出预言的系统。分析显示比传统的适应间隔 Type-2 模糊控制器有建议控制器的远更少计算，特别当模糊规则和模糊集合的数字大时，并且控制器仍然作为传统的维持好控制性能。

英文摘要：

Adaptive Type-2 fuzzy control possesses control performance better than the traditional adaptive fuzzy control.However,heavy computation burden obviously blocks the utilization of adaptive Type-2 fuzzy control in industrial application.By adopting novel piecewise fuzzy sets and center-average type-reduction,a simplified adaptive interval Type-2 fuzzy controller involving less computation is developed for practical industrial application.In the proposed controller,the inputs are divided into several subintervals and then two piecewise fuzzy sets are used for each subinterval.With the manner of piecewise fuzzy sets and a novel fuzzy rules inference engine,only part of fuzzy rules are simultaneously activated in one control loop,which exponentially decreases the computation and makes the controller appropriate in industrial application.The simulation and experimental study,involving the popular magnetic levitation platform,shows the predicted system with theoretical stability and good tracking performance.The analysis indicates that there is far less computation of the proposed controller than the traditional adaptive interval Type-2 fuzzy controller,especially when the number of fuzzy rules and fuzzy sets is large,and the controller still maintains good control performance as the traditional one.