Conference Paper

Stabilization Control of Networked Control Systems with Long Time Delay.

DOI: 10.1109/ISCSCT.2008.163 Conference: 2008 International Symposium on Computer Science and Computational Technology, ISCSCT 2008, 20-22 December 2008, Shanghai, China, 2 Volumes
Source: DBLP


Based on the controlled process that is linear time-invariant system, the network-induced long time delay is viewed as time-varying parameter uncertainties. The uncertainty parameters model of networked control systems with long time delay is set up. The existing conditions of asymptotic stability for networked control system with long time delay are presented by Lyapunov method and robust control theory. The design method of stabilization controller for networked control system is proposed in terms of linear matrix inequalities. In the end the simulation based on the networked control unstable system is studied. The simulation results show the proposed controller is feasible and effective.

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    • "Lots of relevant research results to long time delay systems have been reported in the literature. To mention a few, modeling of long time delay system was considered in [1]; analysis and synthesis results of such system were reported in [2] [3] [4] [5] [6] [7] [8]; the fault detection and filtering problem were solved in [9] [10]. However , relationship between sampling period and time delay in the plant is not fully considered [11] [12], which has inevitably limited the applicability of the aforementioned resulted. "
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    ABSTRACT: This paper mainly studies the problem of the robust stability analysis for sampled-data system with long time delay. By constructing an improved Lyapunov-Krasovskii functional and employing some free weighting matrices, some new robust stability criteria can be established in terms of linear matrix inequalities. Furthermore, the proposed equivalent criterion eliminates the effect of free weighing matrices such that numbers of decision variables and computational burden are less than some existing results. A numerical example is also presented and compared with previously proposed algorithm to illustrate the feasibility and effectiveness of the developed results.
    Mathematical Problems in Engineering 01/2014; 2014. DOI:10.1155/2014/580768 · 0.76 Impact Factor