Mitsuru Toyoda

According to our database, Mitsuru Toyoda authored at least 13 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

On a minimization problem of the maximum generalized eigenvalue: properties and algorithms.

Akatsuki Nishioka, Mitsuru Toyoda, Mirai Tanaka, Yoshihiro Kanno

Comput. Optim. Appl., January, 2025

2024

Kullback-Leibler Control in Boolean Control Networks.

Mitsuru Toyoda, Yuhu Wu

IEEE Trans. Cybern., August, 2024

2023

Maximum-Likelihood State Estimators in Probabilistic Boolean Control Networks.

Mitsuru Toyoda, Yuhu Wu

IEEE Trans. Cybern., June, 2023

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

Iterative Feedback Tuning for Regulatory Control Systems Using Identified Sensitivity Functions via Predictive Error Method.

Yui Takano, Shiro Masuda, Mitsuru Toyoda

Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022

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

Mayer-Type Optimal Control of Probabilistic Boolean Control Network With Uncertain Selection Probabilities.

Mitsuru Toyoda, Yuhu Wu

IEEE Trans. Cybern., 2021

2020

On Optimal Time-Varying Feedback Controllability for Probabilistic Boolean Control Networks.

Mitsuru Toyoda, Yuhu Wu

IEEE Trans. Neural Networks Learn. Syst., 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

A congestion game framework for service chain composition in NFV with function benefit.

Shuting Le, Yuhu Wu, Mitsuru Toyoda

Inf. Sci., 2020

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

2019

MCMC Based Selection Probability Estimation for Probabilistic Boolean Networks.

Mitsuru Toyoda, Yuhu Wu

Proceedings of the 12th Asian Control Conference, 2019

2016

D-optimization based mapping calibration of air mass flow in combustion engines.

Mitsuru Toyoda, Tielong Shen

Proceedings of the 15th European Control Conference, 2016