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eess.SY2020★ 40 cited
Data-driven sparse sensor placement based on A-optimal design of experiment with ADMM
Takayuki Nagata, Taku Nonomura, Kumi Nakai +3
The present study proposes a sensor selection method based on the proximal splitting algorithm and the A-optimal design of experiment using the alternating direction method of mult…
eess.SY2020★ 33 cited
Randomized Subspace Newton Convex Method Applied to Data-Driven Sensor Selection Problem
Taku Nonomura, Shunsuke Ono, Kumi Nakai +1
The randomized subspace Newton convex methods for the sensor selection problem are proposed. The randomized subspace Newton algorithm is straightforwardly applied to the convex for…