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Supermicro CEO Delivers Keynote Address on the Latest System Innovations and Storage Solutions for Green AI and Sustainability

Supermicro CEO Delivers Keynote Address on the Latest System Innovations and Storage Solutions for Green AI and Sustainability
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Media Alert: Computex 2023 Keynote with Supermicro CEO

Supermicro CEO Delivers Keynote Address on the Latest System Innovations and Storage Solutions for Green AI and Sustainability
SAN JOSE, Calif., May 24, 2023 /PRNewswire/ On June 1, 2023 ,. | June 11, 2023 ....

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Supermicro CEO to Deliver Keynote at COMPUTEX 2023 Highlighting Latest Innovations and Green Computing Strategies

Supermicro CEO to Deliver Keynote at COMPUTEX 2023 Highlighting Latest Innovations and Green Computing Strategies
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Media Alert: Computex 2023 Keynote with Supermicro CEO | Taiwan News

Media Alert: Computex 2023 Keynote with Supermicro CEO | 2023-05-24 21:05:00 ....

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"Adaptive Neural Output Feedback Control for MSVs with Predefined Perfo" by Guibing Zhu, Yong Ma et al.

Abstract
In this paper, we investigate the problem of trajectory tracking control for marine surface vehicles (MSVs), which is subject to dynamic uncertainties, external disturbances and unmeasurable velocities. To recover the unmeasurable velocities, a novel adaptive neural network (NN) state observer is constructed. To guarantee the transient and steady-state tracking performance, a novel nonlinear transformation method is proposed by employing a tracking error transformation together with a newly constructed performance function, which is featured by user-defined settling time and tracking control accuracy. With the aid of the state observer and the nonlinear transformation method, with the combination of the adaptive NN technique and vector-backstepping design tool, an adaptive neural output feedback trajectory tracking control scheme with predefined performance is developed Referring to our developed control scheme, uncertainties can be reconstructed only by utilizing the ....

Adaptive Neural Network , Adaptive Systems , Rtificial Neural Networks , Arine Surface Vehicle , Output Feedback , Redefined Performance , Trajectory Tracking , Ransient Analysis , Vehicle Dynamics ,