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Adaptive simulated annealing for designing finite-precision PID controller structures

Adaptive simulated annealing for designing finite-precision PID controller structures
Adaptive simulated annealing for designing finite-precision PID controller structures
Many control applications pose optimisation problems with multimodal and nonsmooth cost functions. Gradient methods are ineffective in these situations. The adaptive simulated annealing (ASA) offers a viable optimisation tool for tackling these difficult constrained optimisation problems. We demonstrate the effectiveness of the ASA using an application, designing finite-precision PID controller structures with maximum stability robustness measure. The sparseness issue of controller structures is also discussed, and it is shown that the ASA can cope with this kind of constraints easily.
3/1-3/3
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Istepanian, R. H.
b71b8b46-cb69-4fcd-8253-d2e7a93079ea
Whidborne, J. F.
4ab1bd73-64f5-4c7c-97da-31c8758352a0
Wu, J.
5a0119e5-a760-4ff5-90b9-ec69926ce501
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Istepanian, R. H.
b71b8b46-cb69-4fcd-8253-d2e7a93079ea
Whidborne, J. F.
4ab1bd73-64f5-4c7c-97da-31c8758352a0
Wu, J.
5a0119e5-a760-4ff5-90b9-ec69926ce501

Chen, S., Istepanian, R. H., Whidborne, J. F. and Wu, J. (1998) Adaptive simulated annealing for designing finite-precision PID controller structures. Proceedings of IEE Colloquium on Optimisation in Control: Methods and Applications. 3/1-3/3 .

Record type: Conference or Workshop Item (Other)

Abstract

Many control applications pose optimisation problems with multimodal and nonsmooth cost functions. Gradient methods are ineffective in these situations. The adaptive simulated annealing (ASA) offers a viable optimisation tool for tackling these difficult constrained optimisation problems. We demonstrate the effectiveness of the ASA using an application, designing finite-precision PID controller structures with maximum stability robustness measure. The sparseness issue of controller structures is also discussed, and it is shown that the ASA can cope with this kind of constraints easily.

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Published date: 1998
Additional Information: IEE Colloquium on Optimisation in Control: Methods and Applications (London), Nov. 10, 1998. Organisation: IEE Control Division
Venue - Dates: Proceedings of IEE Colloquium on Optimisation in Control: Methods and Applications, 1998-01-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 251041
URI: http://eprints.soton.ac.uk/id/eprint/251041
PURE UUID: c314fd00-9b3b-4050-ab9a-3dba9420d698

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Date deposited: 31 Mar 2000
Last modified: 01 Feb 2022 17:48

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Contributors

Author: S. Chen
Author: R. H. Istepanian
Author: J. F. Whidborne
Author: J. Wu

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