2010
DOI: 10.1109/tcsii.2010.2043386
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$H_{\infty}$ Controller Design for Networked Predictive Control Systems Based on the Average Dwell-Time Approach

Abstract: Abstract-This brief focuses on the problem of H ∞ control for a class of networked control systems with time-varying delay in both forward and backward channels. Based on the average dwell-time method, a novel delay-compensation strategy is proposed by appropriately assigning the subsystem or designing the switching signals. Combined with this strategy, an improved predictive controller design approach in which the controller gain varies with the delay is presented to guarantee that the closed-loop system is e… Show more

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Cited by 47 publications
(35 citation statements)
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“…In order to overcome the drawback of fixed controller, we will use the varying controller gain scheme proposed in [26]. Under that scheme, the controller law can be modified as follows…”
Section: System Formulation and Preliminariesmentioning
confidence: 99%
See 3 more Smart Citations
“…In order to overcome the drawback of fixed controller, we will use the varying controller gain scheme proposed in [26]. Under that scheme, the controller law can be modified as follows…”
Section: System Formulation and Preliminariesmentioning
confidence: 99%
“…In order to actively compensate these network-induced imperfections, a large number of approaches have been proposed (see, for example, [23], [24], [25], [26], [27] and the references therein). It is noted that in [23], a new networked predictive control scheme, which is an active method to overcome the network-induced delay and packet dropouts, is proposed.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…Switched systems, which include a finite number of subsystems and a logical rule that regulates the switching between the subsystems, constitute a very active field of current scientific research [1][2][3][4][5][6][7][8][9][10][11][12]. On the other hand, time delays are inevitable in many practical control systems [13,14].…”
Section: Introductionmentioning
confidence: 99%