2017
DOI: 10.1002/asjc.1482
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Slow Sampling Control of Singularly Perturbed Systems Subject to Actuator Saturation and L2 Disturbance

Abstract: This paper is concerned with the slow sampling control problem for singularly perturbed systems with actuator saturation and L2 disturbance. Convex hull is utilized to deal with the actuator saturation. A sufficient condition is proposed such that the boundedness of all the state trajectories will be guaranteed for any singular perturbation parameter less than or equal to a predefined upper bound in the presence of L2 disturbance. Then, two convex optimization problems are formulated to estimate the capability… Show more

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Cited by 15 publications
(13 citation statements)
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“…for k ≥ 0. Thus, the problem of estimating the domain of attraction can be formulated as the following optimization problem: (27), the constraint (a) is equivalent to:…”
Section: Resultsmentioning
confidence: 99%
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“…for k ≥ 0. Thus, the problem of estimating the domain of attraction can be formulated as the following optimization problem: (27), the constraint (a) is equivalent to:…”
Section: Resultsmentioning
confidence: 99%
“…which is obviously satisfied if conditions (21) hold. Now, to calculate the left term in inequality (b) of the optimization problem (27), we consider the closed-loop system composed by (2) and (10):…”
Section: Resultsmentioning
confidence: 99%
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“…Indeed, actuator saturation can seriously degrade the control performance or can cause instability of closed‐loop systems . Due to this reason, many results have been investigated in the literature for systems with actuator symmetric saturation . In this context, both methods (constrained and saturated) address the actuators saturation problem.…”
Section: Introductionmentioning
confidence: 99%
“…However, the system does not consider the boundary disturbance, but many physical phenomena governed by ordinary differential equation and partial differential equation are inevitably subject to certain degrees of modeling uncertainties or exogenous disturbances in the interior domain or at the boundary, it often used the sliding mode control and active disturbance rejection control .…”
Section: Introductionmentioning
confidence: 99%