![]() The tuning process is a major focus in this volume because it is the most difficult stage in fuzzy control application. In this system membership functions and control rules are not determined until the system is applied and each output of its lookup table is calculated based on current inputs. The static fuzzy systems usually discussed in this context fail to take account of inputs outside a pre-set range and their off-line nature makes tuning complicated.Īdvanced Fuzzy Logic Technologies in Industrial Applications addresses the problem by introducing a dynamic, on-line fuzzy inference system. The ability of fuzzy systems to provide shades of gray between "on or off" and "yes or no" is ideally suited to many of today’s complex industrial control systems. ![]()
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