59 citations · 258 across the 20 of their papers we have counts for
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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…
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…
Discrete-Valued Control by Sum-of-Absolute-Values Optimization
Takuya Ikeda, Masaaki Nagahara, Shunsuke Ono
In this paper, we propose a new design method of discrete-valued control for continuous-time linear time-invariant systems based on sum-of-absolute-values (SOAV) optimization. We f…