D-optimization based mapping calibration of air mass flow in combustion engines. - Mitsuru Toyoda; Tielong Shen (ECC, 2016)

MCMC Based Selection Probability Estimation for Probabilistic Boolean Networks. - Mitsuru Toyoda; Yuhu Wu (ASCC, 2019)

An Efficient Algorithm for an ℓ₁/ℓ₂ Mixed Optimal Control Problem with a Box Constraint and Parallelization. - Mitsuru Toyoda; Mirai Tanaka (IEEE Control. Syst. Lett., 2020)

A congestion game framework for service chain composition in NFV with function benefit. - Shuting Le; Yuhu Wu; Mitsuru Toyoda (Inf. Sci., 2020)

Local R-linear convergence of ADMM-based algorithm for ℓ1-norm minimization with linear and box constraints. - Mitsuru Toyoda; Mirai Tanaka (Syst. Control. Lett., 2020)

On Optimal Time-Varying Feedback Controllability for Probabilistic Boolean Control Networks. - Mitsuru Toyoda; Yuhu Wu (IEEE Trans. Neural Networks Learn. Syst., 2020)

Mayer-Type Optimal Control of Probabilistic Boolean Control Network With Uncertain Selection Probabilities. - Mitsuru Toyoda; Yuhu Wu (IEEE Trans. Cybern., 2021)

Policy Iteration Approach to the Infinite Horizon Average Optimal Control of Probabilistic Boolean Networks. - Yuhu Wu; Yuqian Guo; Mitsuru Toyoda (IEEE Trans. Neural Networks Learn. Syst., 2021)

Iterative Feedback Tuning for Regulatory Control Systems Using Identified Sensitivity Functions via Predictive Error Method. - Yui Takano; Shiro Masuda; Mitsuru Toyoda (SICE, 2022)

Efficient iterative method for SOAV minimization problem with linear equality and box constraints and its linear convergence. - Mitsuru Toyoda; Mirai Tanaka (J. Frankl. Inst., 2022)

Maximum-Likelihood State Estimators in Probabilistic Boolean Control Networks. - Mitsuru Toyoda; Yuhu Wu (IEEE Trans. Cybern., 2023)

Kullback-Leibler Control in Boolean Control Networks. - Mitsuru Toyoda; Yuhu Wu (IEEE Trans. Cybern., 2024)

On a minimization problem of the maximum generalized eigenvalue: properties and algorithms. - Akatsuki Nishioka; Mitsuru Toyoda; Mirai Tanaka; Yoshihiro Kanno (Comput. Optim. Appl., 2025)