模糊系統在近年來受到廣泛的討論，本論文中，主要是針對連續模糊隨機系統做分析與研究，在系統中結合協方差控制理論及極點限制進行狀態變數限制及閉迴路極點配置的處理，且為了更滿足系統的實用性，我們加入考慮參數不確定性，並經由線性矩陣不等式(LMI)進行參數不確定性的處理，最後我們提供了一個設計滿足上述情況的控制器的方法。 由於控制器設計並非唯一，最後我們以控制力為考慮要素，提供一個方法進行最小控制力之控制器設計，再者，我們將利用幾個例子來說明本篇論文的有效性。 This thesis concerns the design problem of fuzzy controllers which guarantee the closed-loop poles within a specified disc and steady-state variance to be less than a set of given upper bounds for continuous T-S fuzzy stochastic systems with parameter uncertainties. Using the linear matrix inequality (LMI) approach, the existence conditions of such T-S fuzzy controllers are derived, but the T-S fuzzy controllers are not unique. A solution to the minimum-effect guaranteed-performance design problem is presented in the sense that the required control effort is minimized subject to performance constraints.
