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Abstract:
针对Smith预估控制鲁棒性较差的缺点,本文给出一种变增益的神经元Smith预估控制算法.新算法采用采用高收敛阶的学习规则,同时引入专家控制的思想实现变增益控制,改善神经元控制品质.仿真实验表明这种控制方式具有良好的适应性与鲁棒性.
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福建电脑
ISSN: 1673-2782
CN: 35-1115/TP
Year: 2004
Issue: 9
Page: 58,62
Cited Count:
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 3
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