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Mitsuru Toyoda

Lecturer

Nagaoka University of Technology

Japan

Research Interests

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About

Mitsuru Toyoda is an Assistant Professor at Tokyo Metropolitan University, Japan. His research focuses on control theory and optimization, with recent articles addressing topics such as non-Lipschitz objective functions, probabilistic Boolean control networks, and energy management for hybrid electric vehicles. His work also explores advanced methods in state estimation and optimal control strategies.

Articles (13)

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2026

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2026

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2025

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2020

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2020

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2020

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Mitsuru Toyoda

Research Interests

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Articles (13)

Lipschitz continuously smoothing accelerated proximal gradient method

Polyak–Łojasiewicz Inequality and Backtracking Line‐search in Iterative Feedback Tuning

Proximal subgradient method for non-Lipschitz objective functions

Maximum-Likelihood State Estimators in Probabilistic Boolean Control Networks

Kullback–Leibler Control in Boolean Control Networks

Visual Detection and Deep Reinforcement Learning-Based Car Following and Energy Management for Hybrid Electric Vehicles

Efficient iterative method for SOAV minimization problem with linear equality and box constraints and its linear convergence

An analysis of hot‐started ADMM for linear MPC

Policy Iteration Approach to the Infinite Horizon Average Optimal Control of Probabilistic Boolean Networks

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

An Efficient Algorithm for an ℓ₁/ℓ₂ Mixed Optimal Control Problem with a Box Constraint and Parallelization

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

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

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