Abstract
Simulation based control of discrete event systems has been a potential approach to support decision-making in the manufacturing scenario. In this paper, a knowledge intensive simulation modelling approach for a discrete even system is investigated. Based on the proposed simulation model, a robust control mechanism is presented that is believed to add significant value to discrete event dynamic system. The algorithm utilises neural network feedforward control plus robust proportional derivative feedback control to achieve control performance and output stability. The novel simulation approach, as well as the proposed controller, is implemented in an Extend TM environment and the effectiveness and usefulness of the proposed controller are verified, industrially, in the hard disk drive assembly process, a significant component of the Singapore manufacturing economy.
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Souza, R.d., Ying, Z.Z. Intelligent Control Paradigm for Dynamic Discrete Event System Simulation. Discrete Event Dynamic Systems 9, 65–73 (1999). https://doi.org/10.1023/A:1008345331467
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DOI: https://doi.org/10.1023/A:1008345331467