IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society 2011
DOI: 10.1109/iecon.2011.6119721
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One-step finite horizon boundary with varying control gain for event-driven Networked Control Systems

Abstract: Abstract-Recent research has shown that event-driven control requires less samples than time-driven (periodic) control. Consequently, event-driven control applied to Networked Control Systems (NCS) is a good approach for alleviating controllers bandwidth demands and reducing overall network traffic. Following this trend, this paper presents an execution rule for event-driven networked controllers that at each job execution aims at postponing the next job execution while applying an appropriated controller gain… Show more

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Cited by 15 publications
(18 citation statements)
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“…The control law as in Algorithm 1 satisfies the performance guarantee given in (10) as well as the constraints given in (2) for the closed-loop system (1) with (17) for all x 0 ∈ X f . Proof.…”
Section: Theorem 2 (Sub-optimality and Constraint Satisfaction) Let mentioning
confidence: 94%
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“…The control law as in Algorithm 1 satisfies the performance guarantee given in (10) as well as the constraints given in (2) for the closed-loop system (1) with (17) for all x 0 ∈ X f . Proof.…”
Section: Theorem 2 (Sub-optimality and Constraint Satisfaction) Let mentioning
confidence: 94%
“…The control law given by Algorithm 1 renders the closed-loop system given by (1) and (17) asymptotically stable for initial conditions in X f . (1) and (17). We will first show that…”
Section: Theorem 3 (Stability)mentioning
confidence: 99%
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“…From this viewpoint, event-triggered control and selftriggered control have been proposed so far (see e.g., [2], [3], [7]- [9], [14], [15], [18], [19], [21]- [24]). In eventtriggered control, the measured signal is sent to the controller only when a certain triggering condition on the measured signal is satisfied.…”
mentioning
confidence: 99%
“…For example, in [22], [24], a design method based one-step finite horizon boundary has been proposed. In this method, the first sampling interval such that the optimal value of the cost function is improved, is computed under the constraint that other sampling periods are given as a constant.…”
mentioning
confidence: 99%