Unraveling the mysteries of how biological organisms function begins with understanding the molecular interactions within and ...
Abstract: We study stability and robustness for a large class of linear time-varying systems under the assumption that the system possesses some kind of excitation which is necessary for uniform ...
Abstract: This article presents a novel proximal gradient neurodynamic network (PGNN) for solving composite optimization problems (COPs). The proposed PGNN with time-varying coefficients can be ...
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