查詢結果分析
來源資料
相關文獻
- 混合型之高斯基底函數小腦模式控制器設計
- Dynamical Sliding Mode Controller Design for Uncertain Nonlinear Systems
- Direct Adaptive Fuzzy Control of Nonlinear Systems with Input Saturation Based on Disturbance Observer
- 適應滑模控制在飛控系統上之應用
- Adaptive Wavelet Network Control Design for Nonlinear Systems
- Time Delay Compensation for a Class of Nonlinear Systems
- Sliding Mode Output Feedback Control Scheme for Uncertain Dynamic Systems Including State Delay
- Sliding Mode Controllers for Uncertain Time Delay Systems with Series Nonlinearities
- Decoupled Adaptive Fuzzy Sliding Mode Control for An Inverted Pendulum
- Performance Constrained Sliding Mode Control with Minimum Auxiliary Entropy for Perturbed Ship Yaw-Motion Control Systems
頁籤選單縮合
題 名 | 混合型之高斯基底函數小腦模式控制器設計=Gaussian Basis Function-Based Hybrid CMAC Controller Design |
---|---|
作 者 | 陳俊勝; 鄧曉華; | 書刊名 | 中華科技大學學報 |
卷 期 | 43 2010.04[民99.04] |
頁 次 | 頁131-142 |
分類號 | 448.94 |
關鍵詞 | 小腦模式控制器; 滑動模式; 非線性系統; CMAC; Sliding mode control; Nonlinear system; |
語 文 | 中文(Chinese) |
中文摘要 | 本論文的目的是建立一個以滑動模式為基的小腦模式類神經網路之適應控制來解決非線性系統的控制問題。在控制器架構的設計方法上,小腦模式控制器使用高斯函數為基底函數,這是在超立方塊中嵌入高斯函數,使得輸入狀態所對應到的超立方塊為非定值的高斯分佈方式。然而,在控制器的設計上,經由選取不同的參數α值,可以分別得到直接型、間接型與混合型的控制器,而系統於這些不同型態的控制器下都能獲得合適的等效控制與擁有良好的控制效果。最後將本文所提出的以高斯函數為基底函數的小腦模式控制器應用在強迫震盪系統的追蹤控制上,由模擬結果可知呈現不錯的控制效果。 |
英文摘要 | This thesis presents a Gaussian basis function-based hybrid CMAC (Cerebellar Model Articulation Controller) controller design for a class of uncertain nonlinear system. This design is integrating on sliding mode control (SMC) technique and CMAC neural network with adopts a Gaussian basis function embedded in each hypercube structure such that the information of input and output variables can be obtained. However, in the controller design, by selecting different parameter values, can be a direct-type, indirect-type and hybrid-type controller, respectively, and the system in different types of control can be the best effect, Finally, Simulation results of a Duffing forced-oscillation system confirm that the effect of the approximation error on the tracking error can be attenuated efficiently. |
本系統中英文摘要資訊取自各篇刊載內容。