2022
DOI: 10.1177/17298806221105722
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Adaptive formation control for autonomous surface vessels with prescribed-time convergence

Abstract: This article is dedicated to solving the problem of predefined-time cooperative control for autonomous surface vessels encountering model uncertainties and external perturbations. By virtue of the prescribed-time stable theory, a robust formation controller is constructed, with which the settling time of the cooperative system can be prescribed in advance. The controller is developed under the backstepping framework, where the dynamic surface control is applied to generate the real-time command. Considering th… Show more

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Cited by 3 publications
(2 citation statements)
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References 34 publications
(82 reference statements)
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“…For those with external disturbance and partially unknown nonlinear dynamics, such as known inertia matrix, robust, sliding mode and time-varying control methods are proposed in [7], [8] and [9], respectively. Moreover, for those with external disturbance and complete unknown nonlinear dynamics, fuzzy method, neural network and model predictive control are respectively used in [10], [11][12][13] and [14].…”
Section: Introductionmentioning
confidence: 99%
“…For those with external disturbance and partially unknown nonlinear dynamics, such as known inertia matrix, robust, sliding mode and time-varying control methods are proposed in [7], [8] and [9], respectively. Moreover, for those with external disturbance and complete unknown nonlinear dynamics, fuzzy method, neural network and model predictive control are respectively used in [10], [11][12][13] and [14].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the convergence time is not explicitly related to the adjustable parameters of the controller. Therefore, predefined-time control methods were proposed in [10][11][12][13] to make a system converge to the steady state in a predefined time without relying on the initial value of the system. The convergence time does not need to be calculated in a complicated way, and the convergence time can be adjusted by controlling the parameters.…”
Section: A Introductionmentioning
confidence: 99%