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2016, 45(6): 641-646.
DOI: 10.13976/j.cnki.xk.2016.0641
CSTR: 32166.14.xk.2016.0641
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2016, 45(6): 647-652.
DOI: 10.13976/j.cnki.xk.2016.0647
CSTR: 32166.14.xk.2016.0647
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2016, 45(6): 653-659.
DOI: 10.13976/j.cnki.xk.2016.0653
CSTR: 32166.14.xk.2016.0653
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2016, 45(6): 660-665.
DOI: 10.13976/j.cnki.xk.2016.0660
CSTR: 32166.14.xk.2016.0660
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2016, 45(6): 666-670.
DOI: 10.13976/j.cnki.xk.2016.0666
CSTR: 32166.14.xk.2016.0666
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2016, 45(6): 671-676.
DOI: 10.13976/j.cnki.xk.2016.0671
CSTR: 32166.14.xk.2016.0671
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2016, 45(6): 677-683.
DOI: 10.13976/j.cnki.xk.2016.0677
CSTR: 32166.14.xk.2016.0677
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2016, 45(6): 684-690.
DOI: 10.13976/j.cnki.xk.2016.0684
CSTR: 32166.14.xk.2016.0684
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Multi-level Process Goose Queue Adjustment Based on Distributed State-space Model Predictive Control
2016, 45(6): 699-706.
DOI: 10.13976/j.cnki.xk.2016.0699
CSTR: 32166.14.xk.2016.0699
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2016, 45(6): 707-712,721.
DOI: 10.13976/j.cnki.xk.2016.0707
CSTR: 32166.14.xk.2016.0707
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2016, 45(6): 713-721.
DOI: 10.13976/j.cnki.xk.2016.0713
CSTR: 32166.14.xk.2016.0713
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2016, 45(6): 722-728.
DOI: 10.13976/j.cnki.xk.2016.0722
CSTR: 32166.14.xk.2016.0722
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2016, 45(6): 729-734,758.
DOI: 10.13976/j.cnki.xk.2016.0729
CSTR: 32166.14.xk.2016.0729
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2016, 45(6): 735-741,758.
DOI: 10.13976/j.cnki.xk.2016.0735
CSTR: 32166.14.xk.2016.0735
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2016, 45(6): 747-752.
DOI: 10.13976/j.cnki.xk.2016.0747
CSTR: 32166.14.xk.2016.0747
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2016, 45(6): 753-758.
DOI: 10.13976/j.cnki.xk.2016.0753
CSTR: 32166.14.xk.2016.0753
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