Comparison of stability characterisations for networked control systems

L.L. Hetel; M.B.G. Posthumus - Cloosterman; N. Wouw, van de; W.P.M.H. Heemels; Jamal Daafouz; H. Nijmeijer

doi:10.1109/CDC.2009.5400295

Comparison of stability characterisations for networked control systems

L.L. Hetel, M.B.G. Posthumus - Cloosterman, N. Wouw, van de, W.P.M.H. Heemels, Jamal Daafouz, H. Nijmeijer

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

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Abstract

This paper presents linear matrix inequalities for stability analysis for networked control systems (NCSs) that incorporates various network phenomena: time-varying sampling intervals, packet dropouts and time-varying delays that may be both smaller and larger than the sampling interval. The problem is approached from a discrete-time modelling perspective. A comparison is made between the use of Parameter Dependent Lyapunov functions and Lyapunov-Krasovskii functions for stability analysis. Examples illustrate the developed theory.

Original language	English
Title of host publication	Proceedings of the joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference
Place of Publication	China, Shanghai
Pages	7911-7916,
DOIs	https://doi.org/10.1109/CDC.2009.5400295
Publication status	Published - 2009

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title = "Comparison of stability characterisations for networked control systems",

abstract = "This paper presents linear matrix inequalities for stability analysis for networked control systems (NCSs) that incorporates various network phenomena: time-varying sampling intervals, packet dropouts and time-varying delays that may be both smaller and larger than the sampling interval. The problem is approached from a discrete-time modelling perspective. A comparison is made between the use of Parameter Dependent Lyapunov functions and Lyapunov-Krasovskii functions for stability analysis. Examples illustrate the developed theory.",

author = "L.L. Hetel and {Posthumus - Cloosterman}, M.B.G. and {Wouw, van de}, N. and W.P.M.H. Heemels and Jamal Daafouz and H. Nijmeijer",

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Comparison of stability characterisations for networked control systems. / Hetel, L.L.; Posthumus - Cloosterman, M.B.G.; Wouw, van de, N. et al.

Proceedings of the joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference. China, Shanghai, 2009. p. 7911-7916,.

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

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AU - Hetel, L.L.

AU - Posthumus - Cloosterman, M.B.G.

AU - Wouw, van de, N.

AU - Heemels, W.P.M.H.

AU - Daafouz, Jamal

AU - Nijmeijer, H.

PY - 2009

Y1 - 2009

N2 - This paper presents linear matrix inequalities for stability analysis for networked control systems (NCSs) that incorporates various network phenomena: time-varying sampling intervals, packet dropouts and time-varying delays that may be both smaller and larger than the sampling interval. The problem is approached from a discrete-time modelling perspective. A comparison is made between the use of Parameter Dependent Lyapunov functions and Lyapunov-Krasovskii functions for stability analysis. Examples illustrate the developed theory.

AB - This paper presents linear matrix inequalities for stability analysis for networked control systems (NCSs) that incorporates various network phenomena: time-varying sampling intervals, packet dropouts and time-varying delays that may be both smaller and larger than the sampling interval. The problem is approached from a discrete-time modelling perspective. A comparison is made between the use of Parameter Dependent Lyapunov functions and Lyapunov-Krasovskii functions for stability analysis. Examples illustrate the developed theory.

U2 - 10.1109/CDC.2009.5400295

DO - 10.1109/CDC.2009.5400295

M3 - Conference contribution

SP - 7911-7916,

BT - Proceedings of the joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference

CY - China, Shanghai

ER -

Comparison of stability characterisations for networked control systems

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