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	An architecture-adaptive neural network online control system
	Liang, Xun ; Chen, Rong-Chang ; Yang, Jian
	2008
关键词	hidden neurons pruning orthogonal projection control system MULTILAYER PERCEPTRONS BACKSTEPPING CONTROL REMOVAL DESIGN DELAY
英文摘要	An architecture-adaptive intelligent self-tuning control system is presented. The system is composed of the supervisor module, the model refinement module, the process plant and the database. In the supervisor module, the user prescribes the desired curve for the plant dynamic process. The model refinement module is in parallel with the process plant, and consists of the self-tuning process model, which contains an architecture-adaptive neural network. The model refinement module could learn intelligently the real process plant by the prompt adjustments based on the difference of the outputs of the two modules, and its learned model is also refined gradually. This diagram is especially versatile in the complex nonlinear and time-variant systems in practice.; Computer Science, Artificial Intelligence; SCI(E); CPCI-S(ISTP); 3
语种	英语
DOI标识	10.1007/s00521-007-0137-3
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/161890]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Liang, Xun,Chen, Rong-Chang,Yang, Jian. An architecture-adaptive neural network online control system. 2008-01-01.

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