T. Matsui

发表

A Disturbance Rejection for Model Predictive Control Using a Multivariable Disturbance Observer

Y. Tange, T. Matsui, Koji Matsumoto, 2010 .

Electric Load Forecasting by Neur Considering Various Load T

Y. Fukuyama, T. Matsui, T. Ishihara, 2006 .

Anomaly symptom detection using ensemble prediction based on new weighting method

Satoshi Suzuki, T. Matsui, Kenya Murakami, 2017, 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

Daily Peak Load Forecasting by a Correntropy based Artificial Neural Network using an Adaptive Kernel Size Method Considering Outliers

Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui, 2021 .

Refrigerated Showcase Fault Detection by an Artificial Neural Network using Correntropy with Improved Adaptive Kernel Size Tuning

Y. Fukuyama, Yuichi Shimasaki, T. Matsui, 2022, 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia).

Unsupervised Fault Detection for Refrigeration Showcase Systems with Kernel Principal Component Analysis based Multivariate Statistical Process Control using Feature Selection with Maximal Information Coefficient

Yoshikazu Fukuyama, Kenya Murakami, Tetsuro Matsui, 2021, IEEJ Transactions on Industry Applications.

Model Predictive Control Based on Deep Reinforcement Learning Method with Discrete-Valued Input

Tetsuro Matsui, Yoshio Tange, Satoshi Kiryu, 2019, 2019 IEEE Conference on Control Technology and Applications (CCTA).

Overshoot suppression control based on final tracking error estimation and quantifier elimination

Tetsuro Matsui, Yoshio Tange, Satoshi Kiryu, 2015, 2015 10th Asian Control Conference (ASCC).

A direct quantifier elimination approach for offline multi-rate predictive control with constraints

Tetsuro Matsui, Yoshio Tange, Satoshi Kiryu, 2014, 22nd Mediterranean Conference on Control and Automation.

Parameter optimization of model predictive control by PSO

Tetsuro Matsui, Eitaro Aiyoshi, Ryohei Suzuki, 2012 .

Parameter optimization of model predictive control using PSO

E. Aiyoshi, T. Matsui, C. Nakazawa, 2008, 2008 SICE Annual Conference.

Model predictive control for a periodic reference signal

T. Matsui, H. Ito, C. Nakazawa, 2007, SICE Annual Conference 2007.

Automatic Tuning for Model Predictive Control: Can Particle Swarm Optimization find a better parameter?

Yoshikazu Fukuyama, Tetsuro Matsui, Hideyuki Ito, 2007, 2007 IEEE 22nd International Symposium on Intelligent Control.

A multi-variable disturbance observer for model predictive control

Tetsuro Matsui, Yoshio Tange, Chikashi Nakazawa, 2009, 2009 17th Mediterranean Conference on Control and Automation.

Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Fast Brain Storm Optimization

Yoshikazu Fukuyama, Kenya Murakami, Tatsuya Iizaka, 2019, ICSI.

Fault Detection of Hydroelectric Generators using Isolation Forest

Yoshikazu Fukuyama, Kenya Murakami, Tatsuya Iizaka, 2020, 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

Total Optimization of Energy Networks in a Smart City by Multi-Swarm Differential Evolutionary Particle Swarm Optimization

Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui, 2019, IEEE Transactions on Sustainable Energy.

Moving horizon simultaneous estiamtion of process gain and disturbanes for an oxygen converter gas r

Shiro Masuda, Tetsuro Matsui, Hideyuki Nishida, 2007, ALCOSP.

2021 IEEE 15th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)

Chun Sing Lai, Kasper M. Paasch, Timothy A. Polom, 2021 .

Estimation of missing data of showcase using artificial neural networks

Yoshikazu Fukuyama, Kenya Murakami, Tatsuya Iizaka, 2017, 2017 IEEE 10th International Workshop on Computational Intelligence and Applications (IWCIA).

Estimation of missing data of showcase using autoencoder

Yoshikazu Fukuyama, Kenya Murakami, Tetsuro Matsui, 2017, 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

Total Optimization of Energy Networks in a Smart City by Multi-Population Global-Best Modified Brain Storm Optimization with Migration

Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui, 2019, Algorithms.

One Class Support Vector Machine with a New Feature Selection Method for Fault Detection of Gas Turbine Generators in Thermal Power Plants

Takahiro Yamasaki, Yoshikazu Fukuyama, Kenya Murakami, 2020, 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

A Correntropy Based Artificial Neural Network using Early Stopping for Daily Peak Load Forecasting

Yoshikazu Fukuyama, Tatsuya Iizaka, Tetsuro Matsui, 2020, 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

Development of PSO-based PID tuning method

K. Matsumoto, T. Matsui, Chikashi Nakazawa, 2008, 2008 International Conference on Control, Automation and Systems.

PID optimal tuning method by Particle Swarm Optimization

K. Matsumoto, T. Matsui, A. Oi, 2008, 2008 SICE Annual Conference.

Mild Action Blending Policy on Deep Reinforcement Learning with Discretized Actions for Process Control

Tetsuro Matsui, Yoshio Tange, Satoshi Kiryu, 2020, 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).