Design of intelligent hybrid supervisory controller based on temporal neural networks and timing modules

This paper investigates the application of temporal neural networks in designing sequence controllers for time and event driven mechatronic manufacturing systems (MMSs). A proposed design of this controller is presented. The proposed design is based on temporal neural network algorithm with timing modules. Adequate guidelines of constructing the controller are presented. These guidelines are applied to design a controller for an industrial application. Functionality of the proposed controller is tested by simulation. Learning process, functionality and main features of this controller are studied and analysed. Theoretical results are presented and discussed. These results prove the proper functionality of the controller to deal with a time and event driven discrete manufacturing system. In addition, the simulation results assure the effectiveness of the proposed controller to outperform the effect of noisy inputs.

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