A New Quasi-Finite-Rank Approximation of Compression Operators with Application to the $ mathcal{L}_{1}$ Discretization for Sampled-Data Systems. - Dohyeok Kwak; Jung Hoon Kim 001; Tomomichi Hagiwara (CDC, 2023)

Generalized framework for computing the L∞-induced norm of sampled-data systems. - Dohyeok Kwak; Jung-Hoon Kim 001; Tomomichi Hagiwara (Appl. Math. Comput., 2023)

Robust Stability Analysis of Sampled-Data Systems With Uncertainties Characterized by the ${ mathcal {L}}_ infty$-Induced Norm: Gridding Treatment With Convergence Rate Analysis. - Dohyeok Kwak; Jung Hoon Kim 001; Tomomichi Hagiwara (IEEE Trans. Autom. Control., 2023)

Generalized Kernel Approximation Approach to $ mathcal{L}_{1}$ Optimal Control of Sampled-Data Systems. - Dohyeok Kwak; Jung-Hoon Kim 001; Tomomichi Hagiwara (ACC, 2024)

Computing the L1-Induced Norm of Sampled-data Systems. - Junghoon Kim; Dohyeok Kwak; Jung Hoon Kim 001; Tomomichi Hagiwara (CDC, 2024)

A new quasi-finite-rank approximation of compression operators on L∞[0,H) with applications to sampled-data and time-delay systems: Piecewise linear kernel approximation approach. - Dohyeok Kwak; Jung Hoon Kim 001; Tomomichi Hagiwara (J. Frankl. Inst., 2024)