查詢結果分析
相關文獻
- Adaptive Neural Predictive Control Schemes for Unknown Nonlinear Sytems
- Adaptive Wavelet Network Control Design for Nonlinear Systems
- Time Delay Compensation for a Class of Nonlinear Systems
- On Nonlinear Feedforward Shift Register and Its Linear Equivalent System
- 非線性系統之平行計算--區域分割方法在流體力學計算上的應用
- Balanced Realization for Stable Nonlinear Input-Affine Systems
- 人工神經網路在紡織品手感評估中的應用研究
- On the Improvement of Radial Basis Function Neural Network Training Efficiency
- 土木工程結構錯誤診斷之系統識別應用
- 自調諧神經網路於非線性系統的自我調整控制
頁籤選單縮合
題 名 | Adaptive Neural Predictive Control Schemes for Unknown Nonlinear Sytems=未知非線性系統之具適應性的類神經網路預測控制 |
---|---|
作 者 | 吳煒; 張俊賢; 吳佳儒; | 書刊名 | Journal of the Chinese Institute of Chemical Engineers |
卷 期 | 36:2 民94.03 |
頁 次 | 頁107-117 |
分類號 | 448.942 |
關鍵詞 | 非線性系統; 類神經網路預測控制; Predictive control; Neural network; Input constraints; Dynamic backpropagation algorithm; Reactor systems; |
語 文 | 英文(English) |
中文摘要 | 針對廣義非線性系統提出具適應類神經綱路預測控制策略。藉由離散型態下學習過程建立綱路權值更新律,能用使得前饋式類神經綱路輸出與工廠輸出之間的誤差最小化。利用具“雙重性”最佳化處理過程,使得具提前一步預測控制策略能執行快速及可靠的適應化機制且保證這類不確定非線性系統具穩定規則化輸出。原則上,本方法可低類神經綱路離線學習過程及無需狀態與參數估測等設計。藉由環路模擬展示,所提控制策略能成功應用在兩個反應器例子上。 |
英文摘要 | Adaptive neural predictive control strategies for general nonlinear systems are proposed. The network weight update rule with discrete-time learning procedures which executes the minimal error between the feedforward neural network (FNN) model output and plant output is obtained. The one-step-ahead neural predictive control combined with the 'dual' optimization algorithm serves as a rapid, reliable adaptation mechanism and guarantees the stable output regulation of a class of uncertain nonlinear systems. In principle, the off-line training algorithm on neural networks is reduced, and the state/parameter estimation design is obviated. Through closed-loop simulation demonstrations, the proposed control schemes have been successfully applied to two reactor system examples. |
本系統中英文摘要資訊取自各篇刊載內容。