本論文提出一個新的多項式模糊邏輯網路控制理論,且提出區間二型的多項式模糊模型之強健性穩定條件。其中亦考慮網路控制理論兩大問題:封包丟失與網路延遲,使用李亞普諾夫泛函數來證明其穩定性。考慮包含有外部干擾與模式不確定性之區間二型網路控制系統模型,並使用區間二型的控制器來進行控制。所推導之條件將以平方和的形式呈現。同時也將網路外部環境的因素列入外部干擾與模式不確定性中進行分析,得到具有強健性 性能與對抗封包丟失與改善網路延遲的穩定條件,並利用Truetime電腦軟體來模擬網路系統環境,確認所設計控制器的有效性。最後進行網路控制實驗再次驗證其可行性。
This work provides stability conditions for interval type-2 polynomial fuzzy network control systems and proposes a new interval type-2 polynomial fuzzy logic network control theorem. The theorem considers two problems of network control systems: packet loss and network delay. Robust and stable interval type-2 polynomial fuzzy network control systems can resist packet loss and network delay by using Lyapunov-Krasovskii functional with a sum of squares approach. This study reports results from a simulated network environment to confirm the effectiveness of the interval type-2 polynomial fuzzy network controller and to describe the feasible region in terms of the theorem. A physical robot network control experiment provided results that verified the practicability of implementation.