本文旨在發展適用於一特定類型非線性系統之模糊適應穩定廣義預測控制(fuzzyadaptive stable generalized predictive control)之設計方法學。本方法結 合一具有參數估測功能之Takagi-Sugeno模糊模型，以及一具有追蹤控制性能及保證穩定性之穩定廣義預測控制法則而成之新型模糊適應法則。經由控制兩高度非線性受控體的電腦模擬結果，可檢驗証實本文所提控制策略具有優異的抗干擾(disturbancerejection)與設定點追蹤(setpoint tracking)等特性。

This paper develops methodologies for an adaptive stable generalized predictive control with fuzzy modeling for a class of nonlinear systems. This new type of controller is composed of a fuzzy model with on-line parameter estimation， and a stable generalized predictive control with good tracking， guaranteed stability and disturbance rejection capability. Numerical simulations for controlling two highly nonlinear processes are described. These show the excellent disturbance rejection and setpoint tracking performance of the proposed control method.