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Robust stabilisation control for discrete-time networked control systems

Robust stabilisation control for discrete-time networked control systems
Robust stabilisation control for discrete-time networked control systems
We consider the analysis and synthesis of discrete-time networked control systems (NCSs), where the plant has additive uncertainty and the controller is updated with the sensor information at stochastic time intervals. It is shown that the problem is linked to H1-control of linear discrete-time stochastic systems and a new small gain theorem is established. Based on this result, sufficient conditions are given for ensuring mean square stability of the NCS, and the genetic algorithm is utilised to design the controller of the NCS based on a linear matrix inequality technique. An illustrative example is given to demonstrate the effectiveness of our proposed method.
0020-3270
1885-1894
Wu, Dongxiao
5e1a3c89-509d-4f79-9d4c-223178321783
Wu, Jun
f4ef1588-4016-46bd-9aa2-df9442cb3ee5
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Wu, Dongxiao
5e1a3c89-509d-4f79-9d4c-223178321783
Wu, Jun
f4ef1588-4016-46bd-9aa2-df9442cb3ee5
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Wu, Dongxiao, Wu, Jun and Chen, Sheng (2010) Robust stabilisation control for discrete-time networked control systems. International Journal of Control, 83 (9), 1885-1894.

Record type: Article

Abstract

We consider the analysis and synthesis of discrete-time networked control systems (NCSs), where the plant has additive uncertainty and the controller is updated with the sensor information at stochastic time intervals. It is shown that the problem is linked to H1-control of linear discrete-time stochastic systems and a new small gain theorem is established. Based on this result, sufficient conditions are given for ensuring mean square stability of the NCS, and the genetic algorithm is utilised to design the controller of the NCS based on a linear matrix inequality technique. An illustrative example is given to demonstrate the effectiveness of our proposed method.

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More information

Published date: September 2010
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 271549
URI: https://eprints.soton.ac.uk/id/eprint/271549
ISSN: 0020-3270
PURE UUID: 0946e4c0-ed1e-498d-9090-d09fb6611bb3

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Date deposited: 13 Sep 2010 17:59
Last modified: 18 Jul 2017 06:41

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Contributors

Author: Dongxiao Wu
Author: Jun Wu
Author: Sheng Chen

University divisions

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