2013
DOI: 10.1016/j.neucom.2012.11.027
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A robust adaptive neural networks controller for maritime dynamic positioning system

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Cited by 98 publications
(71 citation statements)
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“…For the nonlinear steering control of marine vessels, a series of control methodologies have been proposed, such as advanced sliding mode control [8][9][10], robust control [11,12], and adaptive control [13,14]. But these passive disturbance attenuation control methods may suffer from actuator chattering, system conservation, derivative explosion, and rigorous proof for stability.…”
Section: Introductionmentioning
confidence: 99%
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“…For the nonlinear steering control of marine vessels, a series of control methodologies have been proposed, such as advanced sliding mode control [8][9][10], robust control [11,12], and adaptive control [13,14]. But these passive disturbance attenuation control methods may suffer from actuator chattering, system conservation, derivative explosion, and rigorous proof for stability.…”
Section: Introductionmentioning
confidence: 99%
“…But these passive disturbance attenuation control methods may suffer from actuator chattering, system conservation, derivative explosion, and rigorous proof for stability. Intelligent approximation tools such as neural network, fuzzy logic, and SVM are introduced as feedforward components for state estimate and disturbance compensation, but the convergence rate of weight function and the problem of extremum solving still remain to be settled [6,12].…”
Section: Introductionmentioning
confidence: 99%
“…It has been proven that the underactuated AUV system does not satisfy the necessary conditions of Brockett and therefore cannot be stabilized by any time-invariant continuous state feedback controller [19]. Therefore, significant attention on behalf of researchers all over the world has promoted the development of advanced control technologies for point stabilization and the dynamic positioning control of the AUV in recent decades, and various control approaches have been proposed in the literature [16,[20][21][22][23][24][25].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, a robust adaptive neural network controller, combined with the vectorial backstepping technique, is proposed for dynamically positioning marine vehicles in [21]. Several types of hybrid controllers for the high level control of point stabilization systems are developed in [22], which includes multi-output PID controllers with position measurements and multi-output PID combining acceleration feedback controllers with position and acceleration measurements.…”
Section: Introductionmentioning
confidence: 99%
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