Abstract
Aimed at the control puzzle of complicated characteristic for complex industrial object, the paper presented an intelligent fusion strategy based on human-simulated control. In the paper, it first made an anatomy and pointed out that the traditional strategy is unsuitable for controlling the complex system, and decomposed the complex system into the operation control unit by means of decomposition-coordination principle for large-scale complex control systems, and then constructed the control algorithm based on human-simulated intelligence, finally the experiment of simulation comparison was made for designed algorithm. The results show that it is good in control quality, strong in robustness, high in control accuracy, and specially suitable for uncertainty system control.
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Huang, W., Yang, Z. (2010). An Intelligent-Fusion Control Strategy for Industrial Complex Process. In: Cao, By., Wang, Gj., Guo, Sz., Chen, Sl. (eds) Fuzzy Information and Engineering 2010. Advances in Intelligent and Soft Computing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14880-4_23
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DOI: https://doi.org/10.1007/978-3-642-14880-4_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14879-8
Online ISBN: 978-3-642-14880-4
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