Intelligent control of a stepping motor drive using an adaptive neuro?fuzzy inference system

Predicting injection profiles using ANFIS

“…The problems are: (1) there are no standard methods for transforming human knowledge or experience into the rule base; and (2) it is required to further tune the membership functions (MF) to minimize the output errors and to maximize the performance, as stated in [9]. There are many methods [27,20,14] that can be applied to identify the MF and FIS. In this paper, two commonly used methods are applied for FIS identification and refinement.…”

Variable Speed Control Using Fuzzy-PID Controller for Two-phase Hybrid Stepping Motor in Robotic Grinding

“…Stepper motors impressively have multiple "toothed" electromagnets arranged around a central gear-shaped piece of iron. General stepping motor with its main parts is showing in Figure 1 [12]. 105 will magnetically attracts the nearest teeth of the gear-shaped iron rotor.…”

A fuzzy Actor–Critic reinforcement learning network

“…If the criterion is met, merge similar units according to Eq. (20), otherwise turn to the next step. 10.…”

“…Hence, functional equivalence has made it possible to combine the features of these two systems, which has been developed into powerful fuzzy neural network systems (FNNs). In these hybrid systems, the fuzzy techniques are actually used to create neural networks or enhance their performance, while neural networks are used to learn membership functions and fuzzy rules [18,20].…”