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Design of an intelligent manufacturing scheduling and control system using fuzzy logic: Sensitivity analysis and parameter optimization

机译:基于模糊逻辑的智能制造调度与控制系统设计:灵敏度分析与参数优化

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摘要

Techniques and concepts from fuzzy logic theory, control theory, and optimisation theory are integrated together, to provide a novel intelligent manufacturing control system that operates in real-time, and is capable of responding to both structural and order related disturbances in a fully automated manner, In this paper we further developed our previous research on a second order intelligent scheduling and control system by performing an extensive sensitivity analysis and parameter optimization in order to achieve an optimal scheduling and control system.
机译:模糊逻辑理论,控制理论和优化理论中的技术和概念被整合在一起,以提供一种新型的智能制造控制系统,该系统可以实时运行,并且能够以自动化方式响应与结构和顺序相关的干扰,在本文中,我们通过进行广泛的灵敏度分析和参数优化以实现最佳的调度和控制系统,进一步发展了我们对二阶智能调度和控制系统的先前研究。

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