ＭｏｄｅｌｐｒｅｄｉｃｔｉｖｅｃｏｎｔｒｏｌｂａｓｅｄｏｎｎｅｕｒａｌｎｅｔｗｏｒｋｓｆｏｒＨａｍｍｅｒｓｔｅｉｎｔｙｐｅｎｏｎｌｉｎｅａｒｓｙｓｔｅｍｓ

ＸＩＡＮＧＷｅｉ; ＳＨＥＮＧＪｉｅ; ＣＨＥＮＺｏｎｇ Ｈａｉ

doi:10.7523/j.issn.2095-6134.2008.2.013

Journal of University of Chinese Academy of Sciences >

2008 , Vol. 25 >Issue 2: 224 - 232

DOI: https://doi.org/10.7523/j.issn.2095-6134.2008.2.013

论文

ＭｏｄｅｌｐｒｅｄｉｃｔｉｖｅｃｏｎｔｒｏｌｂａｓｅｄｏｎｎｅｕｒａｌｎｅｔｗｏｒｋｓｆｏｒＨａｍｍｅｒｓｔｅｉｎｔｙｐｅｎｏｎｌｉｎｅａｒｓｙｓｔｅｍｓ

ＸＩＡＮＧＷｅｉ ,
ＳＨＥＮＧＪｉｅ ,
ＣＨＥＮＺｏｎｇＨａｉ

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ＤｅｐａｒｔｍｅｎｔｏｆＡｕｔｏｍａｔｉｏｎ，ＵｎｉｖｅｒｓｉｔｙｏｆＳｃｉｅｎｃｅａｎｄＴｅｃｈｎｏｌｏｇｙｏｆＣｈｉｎａ，Ｈｅｆｅｉ２３００２７，Ｃｈｉｎａ

Received date: 1900-01-01

Revised date: 1900-01-01

Online published: 2008-03-15

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Abstract

ＴｈｅＨａｍｍｅｒｓｔｅｉｎｍｏｄｅｌｉｓｃｏｍｐｏｓｅｄｏｆａｎｏｎｌｉｎｅａｒｓｔａｔｉｃｅｌｅｍｅｎｔａｎｄａｌｉｎｅａｒｄｙｎａｍｉｃｅｌｅｍｅｎｔｓｅｒｉａｌｌｙ，ａｎｄｉｔｐｒｏｖｅｓｔｏｂｅｅｆｆｅｃｔｉｖｅｉｎｄｅｓｃｒｉｂｉｎｇｔｈｅｂｅｈａｖｉｏｒｏｆｍａｎｙｃｈｅｍｉｃａｌｐｒｏｃｅｓｓｅｓ．Ｂｙａｐｐｒｏｐｒｉａｔｅｉｄｅｎｔｉｆｉｃａｔｉｏｎ，ｔｈｅｉｎｔｒｉｃａｔｅｎｏｎｌｉｎｅａｒｃｏｎｔｒｏｌｐｒｏｂｌｅｍｏｆｔｈｉｓｍｏｄｅｌｃａｎｂｅｆａｃｉｌｉｔａｔｅｄｉｎｔｏｔｗｏｐｒｏｂｌｅｍｓ：ｔｈｅｃｏｎｔｒｏｌｏｆｔｈｅｌｉｎｅａｒｐａｒｔａｎｄｔｈｅｓｏｌｕｔｉｏｎｏｆｔｈｅｎｏｎｌｉｎｅａｒｐａｒｔ．Ｉｎｔｈｉｓｐａｐｅｒ，ａｍｏｄｅｌｐｒｅｄｉｃｔｉｖｅｃｏｎｔｒｏｌｓｃｈｅｍｅｉｓｐｒｏｐｏｓｅｄ，ｗｈｉｃｈｕｓｅｓａｓｅｔｏｆｎｅｕｒａｌｎｅｔｗｏｒｋｓｔｏａｐｐｒｏｘｉｍａｔｅｔｈｅｉｎｖｅｒｓｅｍａｐｐｉｎｇｏｆｔｈｅｎｏｎｌｉｎｅａｒｂｌｏｃｋ．Ｔｈｉｓｎｅｕｒａｌｎｅｔｗｏｒｋｓｍｅｔｈｏｄｎｅｅｄｎｔａｓｓｕｍｅｔｈａｔｔｈｅｎｏｎｌｉｎｅａｒｂｌｏｃｋｉｓａｐｏｌｙｎｏｍｉａｌｅｑｕａｔｉｏｎ，ｔｈｕｓｉｔｏｖｅｒｃｏｍｅｓｔｈｅｄｉｆｆｉｃｕｌｔｙｔｈａｔｎｏｒｅａｌｒｏｏｔｓｅｘｉｓｔｆｏｒｔｈｅｐｏｌｙｎｏｍｉａｌｅｑｕａｔｉｏｎ．Ｔｗｏｓｉｍｕｌａｔｉｏｎｅｘａｍｐｌｅｓ，ｉｎｃｌｕｄｉｎｇａｐＨｎｅｕｔｒａｌｉｚａｔｉｏｎｐｒｏｃｅｓｓ，ａｒｅｕｓｅｄｔｏｄｅｍｏｎｓｔｒａｔｅｔｈｅｅｆｆｅｃｔｉｖｅｎｅｓｓｏｆｔｈｅｍｅｔｈｏｄ．

Key words： ｍｏｄｅｌｐｒｅｄｉｃｔｉｖｅｃｏｎｔｒｏｌ; Ｈａｍｍｅｒｓｔｅｉｎｍｏｄｅｌ; ｎｅｕｒａｌｎｅｔｗｏｒｋｓ

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ＸＩＡＮＧＷｅｉ , ＳＨＥＮＧＪｉｅ , ＣＨＥＮＺｏｎｇＨａｉ . ＭｏｄｅｌｐｒｅｄｉｃｔｉｖｅｃｏｎｔｒｏｌｂａｓｅｄｏｎｎｅｕｒａｌｎｅｔｗｏｒｋｓｆｏｒＨａｍｍｅｒｓｔｅｉｎｔｙｐｅｎｏｎｌｉｎｅａｒｓｙｓｔｅｍｓ[J]. Journal of University of Chinese Academy of Sciences, 2008 , 25(2) : 224 -232 . DOI: 10.7523/j.issn.2095-6134.2008.2.013

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