Výsledky vyhledávání - "Cheah, Chien Chern"

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An Analytic End-to-End Deep Learning Algorithm based on Collaborative Learning

In most control applications, theoretical analysis of the systems is crucial in ensuring stability or convergence, so as to ensure safe and reliable operations and also to gain a better understanding of the systems for further developments. However,

Externí odkaz: http://arxiv.org/abs/2305.18594

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Akademický článek

Deep-Learning-Based Automated Building Construction Progress Monitoring for Prefabricated Prefinished Volumetric Construction.

Autor: Chua, Wei Png¹ (AUTHOR) weipng001@ntu.edu.sg, Cheah, Chien Chern¹ (AUTHOR) ecccheah@ntu.edu.sg

Publikováno v: Sensors (14248220). Nov2024, Vol. 24 Issue 21, p7074. 23p.

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An Analytic Layer-wise Deep Learning Framework with Applications to Robotics

Autor: Nguyen, Huu-Thiet, Cheah, Chien Chern, Toh, Kar-Ann

Publikováno v: Automatica, vol. 135, Jan. 2022

Deep learning (DL) has achieved great success in many applications, but it has been less well analyzed from the theoretical perspective. The unexplainable success of black-box DL models has raised questions among scientists and promoted the emergence

Externí odkaz: http://arxiv.org/abs/2102.03705

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A Differential-Cascaded Paradigm for Control of Nonlinear Systems

Autor: Wang, Hanlei, Ren, Wei, Cheah, Chien Chern

This paper focuses on developing a new paradigm motivated by investigating the consensus problem of networked Lagrangian systems with time-varying delay and switching topologies. We present adaptive controllers with piecewise continuous or arbitrary

Externí odkaz: http://arxiv.org/abs/2012.14251

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