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Prediction of Surface Roughness in Turning Using Adaptive Neuro-Fuzzy Inference System
Adaptive Neuro-Fuzzy Surface Roughness Prediction Turning
2010/1/15
Due to the extensive use of highly automated machine tools in the industry, manufacturing requires reliable models for the prediction of output performance of machining processes. The prediction of su...
Gain Scheduling Adaptive Model Control
Adaptive Control Adaptive Model Control Gain Scheduling Time Varying Plants
2009/10/14
Adaptive Model Control (AMC) is an adaptive control methodology that makes use of FIR (Finite
Impulse Response) adaptive modeling and that requires a minimum of a priori knowledge about the plant to ...
Adaptive self-learning controller design for feedrate maximisation of machining process
Artificial Intelligence Methods Machining Force control
2010/1/19
Purpose: Of this paper: The purpose of this paper is to built an adaptive control system which controlling the cutting
force and maintaining constant roughness of the surface being milled by digital ...