模糊滑動模態控制可以幫助模糊控制滿足傳統控制理論的一些要求，並且可以簡化模糊控制的變數個數，進而降低模糊控制控制法則的數目。模糊滑動模態控制可因隸屬函數的定義位置不同，使得控制在不同狀況有不同的控制力變化率，達到更有效的控制。在強健控制設計時必須假設系統參數變化範圍與外界干擾上限均為已知，但在許多已知應用系統中，這些變化範圍並不易估算，所以只得過估其不確定界(uncertain bounds)以確保滑動模態迫近條件成立。本文提出以適應性模糊模態控制予以解決，初始時控制器先給予一個估計的上界，經由以Lyapunov 理論所推導出的調整法則(adaptive law)，調整以模糊邏輯系統(fuzzy logic system)為控制器架構中的隸屬函數的位置，不僅調整上界，對內部的各控制變數的隸屬函數亦同時予以調整，所以可以修正原先大略設計的控制器，使其更具控制效率。 本文將提出以輸出回饋的方法，來決定控制力的大小，利用強健性輸出回饋滑動模態控制設計，為了使滑動模態動力行為的強健性最大，採用正規矩陣設計。 本文最終將發展出一可處理非線性、不確定性的強健控制，而且其具有可調整的能力，並將其應用於土木結構中。土木結構將探討橋梁與房屋結構，橋梁有三種形式，分別為未安裝隔震裝置、裝置LRB、裝置摩擦滑動式隔震橋梁；房屋結構將研究應用於裝置LRB、裝置摩擦滑動式隔震的房屋結構，使用的地震力除了真正發生的El Centro 地震、集集大地震，並將以長週期人工地震、寬頻白訊(wide pass white noise)人工地震，以驗證本控制法的有效性。 The purpose of the research is to apply adaptive fuzzy sliding mode control of structural control for bridges and base-isolated buildings. Combining the fuzzy control and sliding mode control one can reduce the complexity of fuzzy rule base. It also ensures the stability and robustness. The Lyapunov theory is used to develop the adaptive law. In addition to full-state-feedback controller, an output feedback algorithm using only the measured information from a few sensors is presented. Finally, the adaptive fuzzy sliding mode control is applied to three types of bridge, no isolator, with LRB, and sliding bearing isolators. It is also used to two types of base-isolated building, with LRB, and sliding bearing isolators. The condition of the stiffness uncertainty and time delay is utilized to illustrate the robustness of this algorithm. The effectiveness of this algorithm is demonstrated by simulation results for a long period, a wide-pass white noise artificial earthquake and Taiwan Chi Chi earthquake occurred in 1999. All these simulations are shown that adaptive fuzzy sliding mode control can achieve satisfactory results in the application of structural control for bridges and base-isolated buildings
