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In this paper, positioning control is investigated for the installation of subsea hardware with thrusters attached under time-varying ocean current. Adaptive neural approximation techniques are employed in the design of the control law and the stability is demonstrated by means of a backstepping and Lyapunov synthesis approach. Semiglobal uniform boundedness of the closed loop signals is guaranteed...
In this paper, adaptive control for hydrodynamic forces acting on payloads going through the splash zone are investigated using model-based and non-model-based (neural network) parameterization techniques. After the presentation of a detailed mathematical model for hydrodynamic loads during water entry, model-based and non-model-based robust adaptive controllers are developed with closed-loop stability...
In this paper, adaptive control for hydrodynamic forces acting on payloads going through the splash zone are investigated using model-based and non-model-based (neural network) parameterization techniques. After the presentation of a detailed mathematical model for hydrodynamic loads during water entry, model-based and non-model-based robust adaptive controllers are developed with closed-loop stability...
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