Abstract: This article addresses an identification problem of the sparse nonlinear system, which is described by a nonlinear autoregressive with exogenous input (NARX) model. The precision of using ...
Abstract: Identifying the dynamic model of a system has been a subject of extensive research for decades. However, dealing with highly complex, possibly nonlinear, and noisy systems remains an open ...
Sidus Space (NASDAQ: SIDU), (the “Company” or “Sidus”), an innovative space and defense technology company, today announced the successful on-orbit operation of its Automatic Identification System ...
Nonlinear systems and networks theory is a branch of automatic control theory. It takes systems and networks described by nonlinear differential equations or difference equations as its research ...
Mechatronic Systems Laboratory, Institute of Machine Design and Systems Technology, Technische Universität Berlin, Berlin, Germany This paper presents the development and experimental validation of a ...
College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, People’s Republic of China Henan Key Lab of Information-Based Electrical Appliances, ...
Methods: We developed and validated the Explainable Automated nonlinear Computation scoring system for Health (EACH) framework score. We developed a CatBoost-based prediction model, identified key ...
To avoid linear model redundancy and simplify the structure of a multimodel controller, two general integrated multimodel control design frameworks, which integrate the multimodel decomposition and ...
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