On the sensitivity of the control structure selection problems in large scale multivariable systems

Amin Nobakhti; Martin Brown; Hong Wang

doi:10.1109/CDC.2007.4434220

On the sensitivity of the control structure selection problems in large scale multivariable systems

Amin Nobakhti, Martin Brown, Hong Wang

Research output: Contribution to journal › Article › peer-review

Abstract

Current approaches to solve the control structure selection problem either rely on the control engineer's experience and intuition, or solutions of difficult and nonconvex combinatorial optimisation problems. In this paper a set of new computationally inexpensive graphical analysis tools based on basis pursuit regularization methods are presented which provide significant insight into the control structure selection problem. With the aid of an example it is shown how these tools are used directly to assess the local structural sensitivity of the problem and identify key and important connections within the controller. © 2007 IEEE.

Original language	English
Article number	4434220
Pages (from-to)	4116-4121
Number of pages	5
Journal	IEEE Conference on Decision and Control. Proceedings
DOIs	https://doi.org/10.1109/CDC.2007.4434220
Publication status	Published - 2007

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title = "On the sensitivity of the control structure selection problems in large scale multivariable systems",

abstract = "Current approaches to solve the control structure selection problem either rely on the control engineer's experience and intuition, or solutions of difficult and nonconvex combinatorial optimisation problems. In this paper a set of new computationally inexpensive graphical analysis tools based on basis pursuit regularization methods are presented which provide significant insight into the control structure selection problem. With the aid of an example it is shown how these tools are used directly to assess the local structural sensitivity of the problem and identify key and important connections within the controller. {\textcopyright} 2007 IEEE.",

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AB - Current approaches to solve the control structure selection problem either rely on the control engineer's experience and intuition, or solutions of difficult and nonconvex combinatorial optimisation problems. In this paper a set of new computationally inexpensive graphical analysis tools based on basis pursuit regularization methods are presented which provide significant insight into the control structure selection problem. With the aid of an example it is shown how these tools are used directly to assess the local structural sensitivity of the problem and identify key and important connections within the controller. © 2007 IEEE.

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DO - 10.1109/CDC.2007.4434220

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JO - IEEE Conference on Decision and Control. Proceedings

JF - IEEE Conference on Decision and Control. Proceedings

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On the sensitivity of the control structure selection problems in large scale multivariable systems

Abstract

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