A novel immune feedback control algorithm and its applications

Zhen Qiang Qi; Shen Min Song; Zhao Hua Yang; Guang Da Hu; Fu En Zhang

doi:10.1007/978-3-540-24854-5_33

A novel immune feedback control algorithm and its applications

Zhen Qiang Qi^*
, Shen Min Song
, Zhao Hua Yang
, Guang Da Hu
, Fu En Zhang

^*此作品的通讯作者

Harbin Institute of Technology

科研成果: 书/报告/会议事项章节 › 章节 › 同行评审

4 引用（Scopus）

摘要

This paper first analyzes the feedback principle of nature immune system and then the immune process is imitated by virtue of nonlinear molecular dynamics. Then the mathematic model of immune system is founded. The model implicates two important processes in immune system. One is that antibodies (Ab) and killer T cells (Tkill) rapidly respond to the change of the number of antigens (Ag). Another is that suppressor T cells (Tsup) inhibit and adjust the number of Ab and Tkill. The model manifests the good performance that immune system can respond to foreign materials rapidly and stabilize itself simultaneously. In this paper, foreign disturbances, input errors and measurement noises are regarded as Ag. The process in which creature presents immune response, produces antibodies and removes antigens is regarded as the control process of disturbances eliminating and differences adjusting. So, we designed a novel control algorithm based on immune feedback principle (IFC). The results of simulation show that the IFC algorithm can make the system respond quickly and get to steady state rapidly, and has good noise-proof feature. Its performance is superior to that of ordinary controllers. It also shows that the IFC algorithm suits for controlling the large time-delay system especially.

源语言	英语
主期刊名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编辑	Kalyanmoy Deb, Riccardo Poli, Owen Holland, Kalyanmoy Banzhaf, Hans-Georg Beyer, Edmund Burke, Paul Darwen, Dipankar Dasgupta, Dario Floreano, James Foster, Mark Harman, Pier Luca Lanzi, Lee Spector, Andrea G. B. Tettamanzi, Dirk Thierens, Andrew M. Tyrrell
出版商	Springer Verlag
页	318-320
页数	3
ISBN（印刷版）	3540223444, 9783540223443
DOI	https://doi.org/10.1007/978-3-540-24854-5_33
出版状态	已出版 - 2004
已对外发布	是

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	3102
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

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10.1007/978-3-540-24854-5_33

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链接到 Scopus 的出版物

引用此

Qi, Z. Q., Song, S. M., Yang, Z. H., Hu, G. D., & Zhang, F. E. (2004). A novel immune feedback control algorithm and its applications. 在 K. Deb, R. Poli, O. Holland, K. Banzhaf, H.-G. Beyer, E. Burke, P. Darwen, D. Dasgupta, D. Floreano, J. Foster, M. Harman, P. L. Lanzi, L. Spector, A. G. B. Tettamanzi, D. Thierens, & A. M. Tyrrell (编辑), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (页码 318-320). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 3102). Springer Verlag. https://doi.org/10.1007/978-3-540-24854-5_33

Qi, Zhen Qiang ; Song, Shen Min ; Yang, Zhao Hua 等. / A novel immune feedback control algorithm and its applications. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 编辑 / Kalyanmoy Deb ; Riccardo Poli ; Owen Holland ; Kalyanmoy Banzhaf ; Hans-Georg Beyer ; Edmund Burke ; Paul Darwen ; Dipankar Dasgupta ; Dario Floreano ; James Foster ; Mark Harman ; Pier Luca Lanzi ; Lee Spector ; Andrea G. B. Tettamanzi ; Dirk Thierens ; Andrew M. Tyrrell. Springer Verlag, 2004. 页码 318-320 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inbook{a5720309786749e28ef2debe9f4de360,

title = "A novel immune feedback control algorithm and its applications",

abstract = "This paper first analyzes the feedback principle of nature immune system and then the immune process is imitated by virtue of nonlinear molecular dynamics. Then the mathematic model of immune system is founded. The model implicates two important processes in immune system. One is that antibodies (Ab) and killer T cells (Tkill) rapidly respond to the change of the number of antigens (Ag). Another is that suppressor T cells (Tsup) inhibit and adjust the number of Ab and Tkill. The model manifests the good performance that immune system can respond to foreign materials rapidly and stabilize itself simultaneously. In this paper, foreign disturbances, input errors and measurement noises are regarded as Ag. The process in which creature presents immune response, produces antibodies and removes antigens is regarded as the control process of disturbances eliminating and differences adjusting. So, we designed a novel control algorithm based on immune feedback principle (IFC). The results of simulation show that the IFC algorithm can make the system respond quickly and get to steady state rapidly, and has good noise-proof feature. Its performance is superior to that of ordinary controllers. It also shows that the IFC algorithm suits for controlling the large time-delay system especially.",

keywords = "Control algorithm, Feedback, Immune, Nonlinear",

author = "Qi, \{Zhen Qiang\} and Song, \{Shen Min\} and Yang, \{Zhao Hua\} and Hu, \{Guang Da\} and Zhang, \{Fu En\}",

year = "2004",

doi = "10.1007/978-3-540-24854-5\_33",

language = "英语",

isbn = "3540223444",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "318--320",

editor = "Kalyanmoy Deb and Riccardo Poli and Owen Holland and Kalyanmoy Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Lanzi, \{Pier Luca\} and Lee Spector and Tettamanzi, \{Andrea G. B.\} and Dirk Thierens and Tyrrell, \{Andrew M.\}",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

address = "德国",

}

Qi, ZQ, Song, SM, Yang, ZH, Hu, GD & Zhang, FE 2004, A novel immune feedback control algorithm and its applications. 在 K Deb, R Poli, O Holland, K Banzhaf, H-G Beyer, E Burke, P Darwen, D Dasgupta, D Floreano, J Foster, M Harman, PL Lanzi, L Spector, AGB Tettamanzi, D Thierens & AM Tyrrell (编辑), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 3102, Springer Verlag, 页码 318-320. https://doi.org/10.1007/978-3-540-24854-5_33

A novel immune feedback control algorithm and its applications. / Qi, Zhen Qiang; Song, Shen Min; Yang, Zhao Hua 等.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 编辑 / Kalyanmoy Deb; Riccardo Poli; Owen Holland; Kalyanmoy Banzhaf; Hans-Georg Beyer; Edmund Burke; Paul Darwen; Dipankar Dasgupta; Dario Floreano; James Foster; Mark Harman; Pier Luca Lanzi; Lee Spector; Andrea G. B. Tettamanzi; Dirk Thierens; Andrew M. Tyrrell. Springer Verlag, 2004. 页码 318-320 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 3102).

科研成果: 书/报告/会议事项章节 › 章节 › 同行评审

TY - CHAP

T1 - A novel immune feedback control algorithm and its applications

AU - Qi, Zhen Qiang

AU - Song, Shen Min

AU - Yang, Zhao Hua

AU - Hu, Guang Da

AU - Zhang, Fu En

PY - 2004

Y1 - 2004

N2 - This paper first analyzes the feedback principle of nature immune system and then the immune process is imitated by virtue of nonlinear molecular dynamics. Then the mathematic model of immune system is founded. The model implicates two important processes in immune system. One is that antibodies (Ab) and killer T cells (Tkill) rapidly respond to the change of the number of antigens (Ag). Another is that suppressor T cells (Tsup) inhibit and adjust the number of Ab and Tkill. The model manifests the good performance that immune system can respond to foreign materials rapidly and stabilize itself simultaneously. In this paper, foreign disturbances, input errors and measurement noises are regarded as Ag. The process in which creature presents immune response, produces antibodies and removes antigens is regarded as the control process of disturbances eliminating and differences adjusting. So, we designed a novel control algorithm based on immune feedback principle (IFC). The results of simulation show that the IFC algorithm can make the system respond quickly and get to steady state rapidly, and has good noise-proof feature. Its performance is superior to that of ordinary controllers. It also shows that the IFC algorithm suits for controlling the large time-delay system especially.

AB - This paper first analyzes the feedback principle of nature immune system and then the immune process is imitated by virtue of nonlinear molecular dynamics. Then the mathematic model of immune system is founded. The model implicates two important processes in immune system. One is that antibodies (Ab) and killer T cells (Tkill) rapidly respond to the change of the number of antigens (Ag). Another is that suppressor T cells (Tsup) inhibit and adjust the number of Ab and Tkill. The model manifests the good performance that immune system can respond to foreign materials rapidly and stabilize itself simultaneously. In this paper, foreign disturbances, input errors and measurement noises are regarded as Ag. The process in which creature presents immune response, produces antibodies and removes antigens is regarded as the control process of disturbances eliminating and differences adjusting. So, we designed a novel control algorithm based on immune feedback principle (IFC). The results of simulation show that the IFC algorithm can make the system respond quickly and get to steady state rapidly, and has good noise-proof feature. Its performance is superior to that of ordinary controllers. It also shows that the IFC algorithm suits for controlling the large time-delay system especially.

KW - Control algorithm

KW - Feedback

KW - Immune

KW - Nonlinear

UR - https://www.scopus.com/pages/publications/35048902658

U2 - 10.1007/978-3-540-24854-5_33

DO - 10.1007/978-3-540-24854-5_33

M3 - 章节

AN - SCOPUS:35048902658

SN - 3540223444

SN - 9783540223443

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 318

EP - 320

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

A2 - Deb, Kalyanmoy

A2 - Poli, Riccardo

A2 - Holland, Owen

A2 - Banzhaf, Kalyanmoy

A2 - Beyer, Hans-Georg

A2 - Burke, Edmund

A2 - Darwen, Paul

A2 - Dasgupta, Dipankar

A2 - Floreano, Dario

A2 - Foster, James

A2 - Harman, Mark

A2 - Lanzi, Pier Luca

A2 - Spector, Lee

A2 - Tettamanzi, Andrea G. B.

A2 - Thierens, Dirk

A2 - Tyrrell, Andrew M.

PB - Springer Verlag

ER -

Qi ZQ, Song SM, Yang ZH, Hu GD, Zhang FE. A novel immune feedback control algorithm and its applications. 在 Deb K, Poli R, Holland O, Banzhaf K, Beyer HG, Burke E, Darwen P, Dasgupta D, Floreano D, Foster J, Harman M, Lanzi PL, Spector L, Tettamanzi AGB, Thierens D, Tyrrell AM, 编辑, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. 页码 318-320. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-24854-5_33

A novel immune feedback control algorithm and its applications

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