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The role of extremophile microbiomes in terraforming Mars. [PDF]
Coleine C +3 more
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An improved scatter search algorithm for solving job shop scheduling problems with parallel batch processing machine. [PDF]
Wang H, Xiong H, Zuo W, Shi S.
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Struct2GO-Enhanced: Multimodal Graph Attention Improves Protein Function Prediction. [PDF]
Shi Z, Vo TH, Le NQK, Chua MCH.
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Development and clinical application of an automated machine learning-based delirium risk prediction model for emergency polytrauma patients. [PDF]
Liu Z +8 more
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Input-to-state stability (ISS) analysis for dynamic neural networks
IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1999Summary: A novel approach to assess the stability of dynamic neural networks is presented. Using a Lyapunov function, we determine conditions to guarantee input-to-state stability which also ensures global asymptotic stability. The applicability of these conditions is illustrated by two examples.
Edgar N. Sánchez, José P. Pérez
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IEEE Transactions on Robotics, 2017
Passivity has been a major criterion for designing a stable haptic interface due to its numerous advantages. However, passivity-based controllers have suffered from the design conservatism of the passivity criterion, particularly when users want to increase the maximum apparent impedance.
Aghil Jafari +2 more
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Passivity has been a major criterion for designing a stable haptic interface due to its numerous advantages. However, passivity-based controllers have suffered from the design conservatism of the passivity criterion, particularly when users want to increase the maximum apparent impedance.
Aghil Jafari +2 more
openaire +3 more sources
On the input-to-state stability (ISS) of a double integrator with saturated linear control laws
Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301), 2003We show that the closed loop system consisting of a double integrator with any stabilizing saturated linear control law is not input-to-state stable (ISS) even for external disturbances with arbitrarily small magnitude.
Guoyong Shi, Ali Saberi
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