Mitsuru Toyoda

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 12

Top Topics

Infinite Horizon

Kullback Leibler

Optimal Control

Top Venues

IEEE Trans. Cybern.

IEEE Trans. Neural Networks Learn. Syst.

IEEE Control. Syst. Lett.

J. Frankl. Inst.

Publications

Mitsuru Toyoda, Yuhu Wu
Kullback-Leibler Control in Boolean Control Networks. IEEE Trans. Cybern. 54 (8) (2024)
Mitsuru Toyoda, Yuhu Wu
Maximum-Likelihood State Estimators in Probabilistic Boolean Control Networks. IEEE Trans. Cybern. 53 (6) (2023)
Mitsuru Toyoda, Mirai Tanaka
Efficient iterative method for SOAV minimization problem with linear equality and box constraints and its linear convergence. J. Frankl. Inst. 359 (5) (2022)
Yui Takano, Shiro Masuda, Mitsuru Toyoda
Iterative Feedback Tuning for Regulatory Control Systems Using Identified Sensitivity Functions via Predictive Error Method. SICE (2022)
Mitsuru Toyoda, Yuhu Wu
Mayer-Type Optimal Control of Probabilistic Boolean Control Network With Uncertain Selection Probabilities. IEEE Trans. Cybern. 51 (6) (2021)
Yuhu Wu, Yuqian Guo, Mitsuru Toyoda
Policy Iteration Approach to the Infinite Horizon Average Optimal Control of Probabilistic Boolean Networks. IEEE Trans. Neural Networks Learn. Syst. 32 (7) (2021)
Mitsuru Toyoda, Mirai Tanaka
An Efficient Algorithm for an ℓ₁/ℓ₂ Mixed Optimal Control Problem with a Box Constraint and Parallelization. IEEE Control. Syst. Lett. 4 (3) (2020)
Shuting Le, Yuhu Wu, Mitsuru Toyoda
A congestion game framework for service chain composition in NFV with function benefit. Inf. Sci. 514 (2020)
Mitsuru Toyoda, Mirai Tanaka
Local R-linear convergence of ADMM-based algorithm for ℓ1-norm minimization with linear and box constraints. Syst. Control. Lett. 146 (2020)
Mitsuru Toyoda, Yuhu Wu
On Optimal Time-Varying Feedback Controllability for Probabilistic Boolean Control Networks. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
Mitsuru Toyoda, Yuhu Wu
MCMC Based Selection Probability Estimation for Probabilistic Boolean Networks. ASCC (2019)
Mitsuru Toyoda, Tielong Shen
D-optimization based mapping calibration of air mass flow in combustion engines. ECC (2016)