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Enhancements to non-linear multiple model adaptive control schemes

Enhancements to non-linear multiple model adaptive control schemes
Enhancements to non-linear multiple model adaptive control schemes
There has been much interest in recent years on neural network based control of non-linear dynamic processes and also on their use in multiple model adaptive control schemes. This paper reports on performance enhancements to one class of such control laws, including their extension to multiple model adaptive control.
0020-3270
1010-1025
Brown, D.
066e8669-5678-4f7c-96eb-e8e29a9a4cfb
Tutty, O.R.
c9ba0b98-4790-4a72-b5b7-09c1c6e20375
Rogers, E.
611b1de0-c505-472e-a03f-c5294c63bb72
Brown, D.
066e8669-5678-4f7c-96eb-e8e29a9a4cfb
Tutty, O.R.
c9ba0b98-4790-4a72-b5b7-09c1c6e20375
Rogers, E.
611b1de0-c505-472e-a03f-c5294c63bb72

Brown, D., Tutty, O.R. and Rogers, E. (2006) Enhancements to non-linear multiple model adaptive control schemes. International Journal of Control, 79 (9), 1010-1025. (doi:10.1080/00207170600627485).

Record type: Article

Abstract

There has been much interest in recent years on neural network based control of non-linear dynamic processes and also on their use in multiple model adaptive control schemes. This paper reports on performance enhancements to one class of such control laws, including their extension to multiple model adaptive control.

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Published date: September 2006

Identifiers

Local EPrints ID: 43832
URI: http://eprints.soton.ac.uk/id/eprint/43832
ISSN: 0020-3270
PURE UUID: 177d212a-131e-46d5-b1e2-cec8112439ea
ORCID for E. Rogers: ORCID iD orcid.org/0000-0003-0179-9398

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Date deposited: 02 Feb 2007
Last modified: 20 Jul 2019 01:23

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Contributors

Author: D. Brown
Author: O.R. Tutty
Author: E. Rogers ORCID iD

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