2010
DOI: 10.24846/v19i4y201001
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Sampled Tracking for Delayed Systems Using Two-Time-Scale Sampled-data Controllers

Abstract: This article deals with the trajectory tracking of linear plants with sampled and delayed outputs. A class of sampled-data controllers with two time-scales is proposed which allows sampled tracking with a delay twice as much as that of the plant output. Numerical simulation results are presented to demonstrate the effectiveness of the proposed approach.

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Cited by 11 publications
(10 citation statements)
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“…The problem of this observer is that its convergence speed can not be maximized freely, but under strong inequality constraint conditions of (21)- (22). And the gain solution (23) is not always exists.…”
Section: Stability Analysismentioning
confidence: 96%
See 1 more Smart Citation
“…The problem of this observer is that its convergence speed can not be maximized freely, but under strong inequality constraint conditions of (21)- (22). And the gain solution (23) is not always exists.…”
Section: Stability Analysismentioning
confidence: 96%
“…The used PCS, which is firstly proposed in [14] and then developed in [19], [20], [21], [22], is a hybrid system characterized by autonomous switchings and controlled impulses. Further on, to show the proposed observer performance, a comparaison with a Lyapunov-Krasovskii technique and descriptor representation based Luenberger observer [16], [4] is also effectuated.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, recent works [8,17] deal with the stabilization and control of delayed systems with only one unstable pole. Also, note that the stability results for systems with delay in the direct input-output path (see Lee [8], Silva [17], Wang [18], for instance) cannot be applied to the class of system here considered, where two delay terms of different magnitude are obtained in the characteristic equation when the control loop is closed. …”
Section: Introductionmentioning
confidence: 99%
“…This controller uses only the system position measurement and doesn't require any identification of electromechanical system parameters, such as parameters in the friction model, rotor inertia, etc. RMFC is based on the theory of Piecewise Continuous Systems (PCS) which were first introduced in [9] and then developed in [10][11][12][13][14][15]. According to the classification [16] PCS are hybrid systems with autonomous switching and controlled impulses.…”
Section: Introductionmentioning
confidence: 99%