Adaptive Control System for Solution of Fault Tolerance Problem for MIMO Systems

Yuri Vershinin

Adaptive Control System for Solution of Fault Tolerance Problem for MIMO Systems

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Adaptive control can provide desirable behaviour of a process even though the process parameters are unknown or may vary with time. Conventional adaptive control requires that the speed of adaptation must be more rapid than that of the parameter changes. In practice, however, problems do arise when this is not the case. For example, when fault occurs in a process, the parameters may change very dramatically. A new approach based on simultaneous identification and adaptation of unknown parameters is suggested for compensation of rapidly changing parameters of a multivariable process.

Original language	English
Title of host publication	Proceedings of the International MultiConference of Engineers and Computer Scientists 2013
Publisher	International Association of Engineers
Pages	117-120
Volume	1
ISBN (Print)	978-988-19251-8-3
Publication status	Published - 2013
Event	International Multi-Conference of Engineers and Computer Scientists 2013 - , Hong Kong Duration: 13 Mar 2013 → 15 Mar 2013

Conference

Conference	International Multi-Conference of Engineers and Computer Scientists 2013
Abbreviated title	IMECS
Country/Territory	Hong Kong
Period	13/03/13 → 15/03/13

Bibliographical note

This paper is available online at http://www.iaeng.org/publication/IMECS2013/IMECS2013_pp117-120.pdf. It was given at the International MultiConference of Engineers and Computer Scientists IMECS March 13 - 15, 2013, Hong Kong

Keywords

Adaptive control
fault tolerance
multivariable
process
time-varying parameters.

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Vershinin, Y 2013, Adaptive Control System for Solution of Fault Tolerance Problem for MIMO Systems. in Proceedings of the International MultiConference of Engineers and Computer Scientists 2013. vol. 1, International Association of Engineers, pp. 117-120, International Multi-Conference of Engineers and Computer Scientists 2013, Hong Kong, 13/03/13. <http://www.iaeng.org/publication/IMECS2013/IMECS2013_pp117-120.pdf>

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note = "This paper is available online at http://www.iaeng.org/publication/IMECS2013/IMECS2013_pp117-120.pdf. It was given at the International MultiConference of Engineers and Computer Scientists IMECS March 13 - 15, 2013, Hong Kong; International Multi-Conference of Engineers and Computer Scientists 2013, IMECS ; Conference date: 13-03-2013 Through 15-03-2013",

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N2 - Adaptive control can provide desirable behaviour of a process even though the process parameters are unknown or may vary with time. Conventional adaptive control requires that the speed of adaptation must be more rapid than that of the parameter changes. In practice, however, problems do arise when this is not the case. For example, when fault occurs in a process, the parameters may change very dramatically. A new approach based on simultaneous identification and adaptation of unknown parameters is suggested for compensation of rapidly changing parameters of a multivariable process.

AB - Adaptive control can provide desirable behaviour of a process even though the process parameters are unknown or may vary with time. Conventional adaptive control requires that the speed of adaptation must be more rapid than that of the parameter changes. In practice, however, problems do arise when this is not the case. For example, when fault occurs in a process, the parameters may change very dramatically. A new approach based on simultaneous identification and adaptation of unknown parameters is suggested for compensation of rapidly changing parameters of a multivariable process.

KW - Adaptive control

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KW - process

KW - time-varying parameters.

M3 - Chapter

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BT - Proceedings of the International MultiConference of Engineers and Computer Scientists 2013

PB - International Association of Engineers

T2 - International Multi-Conference of Engineers and Computer Scientists 2013

Y2 - 13 March 2013 through 15 March 2013

ER -

Adaptive Control System for Solution of Fault Tolerance Problem for MIMO Systems

Abstract

Conference

Bibliographical note

Keywords

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