• 作者： Jang, Shi-Shang; Chen, Li-Quen
• 中文摘要： 在本工作中,我們研導一新式的非線性模式控制方法名為「非線性隱含模式預測控制」(NIMPC)。NIMPC使用一隱含式模式,而它是用在一定範圍內之輸出入關係列成表格。而控制之決策則根據查表及邏輯判斷。其中線上之辨識之方法為使測量及模式預測輸出極大化,而線上控制則為一種後推式搜尋方法。本方法之代價為須要大量的電腦記憶來儲存所謂的隱含式模式,但利益為我們能擁有更富彈性的模式及省略了大量線上複雜的計算。本工作發現本法可獲得和嚴格模式計算獲得之控制品質相近。兩個例題說明了本方法。
• 英文摘要： In this work, a novel nonlinear model control scheme named Nonlinear Implicit Model Predictive Control (NIMPC) is derived. NIMPC employs an implicit nonlinear process model which is a tabulation of input/output relations over an interesting operating range. The decision making of the controller is based on reviewing these tables and logic reasoning. On-line identification is performed by maximizing the agreement between measured and predicted outputs; while on-line control is performed by a backward search method. The cost of this new approach is the need for a lot of computer memories to save the implicit model, while the benefits are the availability of more flexible model representation and the elimination of tedious on-line numerical calculations. It was found that control quality is similar to rigorous numerical methods. Two examples were simulated to illustrate the workings of this approach.
• 中文關鍵字： 模式預測控制; 隱含式模式; 模糊理論
• 英文關鍵字： Model Predictive Control; Implicit Model; Fuzzy Set Theory