# Assist. Prof. Dr. Tomoaki Hashimoto

**Committee:**International Scientific Committee of Computer and Information Engineering

**University:**Osaka Institute of Technology

**Department:**Department of Mechanical Engineering

**Research Fields:**computational simulations, optimal control, predictive control, stochastic systems, discrete-time systems,

## Publications

##### 10 State Estimation Based on Unscented Kalman Filter for Burgers’ Equation

**Authors:**
Tomoaki Hashimoto,
Takashi Shimizu

**Abstract:**

**Keywords:**
State Estimation,
Fluid Systems,
unscented kalman filter,
observer systems

##### 9 Model Predictive Control Using Thermal Inputs for Crystal Growth Dynamics

**Authors:**
Tomoaki Hashimoto,
Takashi Shimizu

**Abstract:**

**Keywords:**
Process Control,
Optimal Control,
Model Predictive Control,
crystal
growth

##### 8 Stabilization of Rotational Motion of Spacecrafts Using Quantized Two Torque Inputs Based on Random Dither

**Authors:**
Tomoaki Hashimoto,
Yusuke Kuramitsu,
Hirokazu Tahara

**Abstract:**

**Keywords:**
quantized control,
spacecraft control,
random dither method,
nonlinear
control

##### 7 Model Predictive Control with Unscented Kalman Filter for Nonlinear Implicit Systems

**Authors:**
Tomoaki Hashimoto,
Takashi Shimizu

**Abstract:**

**Keywords:**
Nonlinear Systems,
Model Predictive Control,
unscented kalman filter,
implicit systems

##### 6 Numerical Simulations on Feasibility of Stochastic Model Predictive Control for Linear Discrete-Time Systems with Random Dither Quantization

**Authors:**
Tomoaki Hashimoto,
Taiki Baba

**Abstract:**

**Keywords:**
Stochastic systems,
Model Predictive Control,
probabilistic constraints,
random dither quantization

##### 5 Stochastic Model Predictive Control for Linear Discrete-Time Systems with Random Dither Quantization

**Authors:**
Tomoaki Hashimoto

**Abstract:**

**Keywords:**
Optimal Control,
Stochastic systems,
probabilistic constraints,
random dither quantization,
discrete-time
systems

##### 4 Stability of Stochastic Model Predictive Control for Schrödinger Equation with Finite Approximation

**Authors:**
Tomoaki Hashimoto

**Abstract:**

**Keywords:**
Optimal Control,
Quantum Systems,
Stochastic systems,
Stabilization

##### 3 Solutions to Probabilistic Constrained Optimal Control Problems Using Concentration Inequalities

**Authors:**
Tomoaki Hashimoto

**Abstract:**

**Keywords:**
Optimal Control,
Stochastic systems,
discrete-time systems,
probabilistic constraints

##### 2 Conservativeness of Probabilistic Constrained Optimal Control Method for Unknown Probability Distribution

**Authors:**
Tomoaki Hashimoto

**Abstract:**

**Keywords:**
Optimal Control,
Stochastic systems,
probabilistic constraints,
discrete-time
systems

##### 1 Computational Simulations on Stability of Model Predictive Control for Linear Discrete-time Stochastic Systems

**Authors:**
Tomoaki Hashimoto

**Abstract:**

**Keywords:**
Optimal Control,
Stochastic systems,
computational simulations,
discrete-time systems,
predictive
control

## Abstracts

##### 12 Robust Stabilization of Rotational Motion of Underwater Robots against Parameter Uncertainties

**Authors:**
Tomoaki Hashimoto,
Riku Hayashida

**Abstract:**

**Keywords:**
Robust Control,
underwater robot,
stabilization method,
parameter uncertainty

##### 11 State Estimation Based on Unscented Kalman Filter for Burgers’ Equation

**Authors:**
Tomoaki Hashimoto,
Takashi Shimizu

**Abstract:**

**Keywords:**
Nonlinear Systems,
unscented kalman filter,
observer systems,
Burgers' equation

##### 10 Stabilization of Rotational Motion of Spacecrafts Using Quantized Two Torque Inputs Based on Random Dither

**Authors:**
Tomoaki Hashimoto,
Yusuke Kuramitsu,
Hirokazu Tahara

**Abstract:**

**Keywords:**
Nonlinear Control,
quantized control,
spacecraft control,
random dither method

##### 9 Model Predictive Control with Unscented Kalman Filter for Nonlinear Implicit Systems

**Authors:**
Tomoaki Hashimoto,
Takashi Shimizu

**Abstract:**

**Keywords:**
Optimal Control,
Nonlinear Systems,
State Estimation,
Kalman Filter

##### 8 Model Predictive Control Using Thermal Inputs for Crystal Growth Dynamics

**Authors:**
Tomoaki Hashimoto,
Takashi Shimizu

**Abstract:**

**Keywords:**
Process Control,
Optimal Control,
Model Predictive Control,
Crystal Growth

##### 7 Numerical Simulations on Feasibility of Stochastic Model Predictive Control for Linear Discrete-Time Systems with Random Dither Quantization

**Authors:**
Tomoaki Hashimoto,
Taiki Baba

**Abstract:**

**Keywords:**
Stochastic systems,
Model Predictive Control,
probabilistic constraints,
random dither quantization

##### 6 Attitude Stabilization of Satellites Using Random Dither Quantization

**Authors:**
Tomoaki Hashimoto,
Hirokazu Tahara,
Kazuma Okada

**Abstract:**

**Keywords:**
Nonlinear Systems,
quantized control,
random dither quantization

##### 5 Stochastic Model Predictive Control for Linear Discrete-Time Systems with Random Dither Quantization

**Authors:**
Tomoaki Hashimoto

**Abstract:**

**Keywords:**
Optimal Control,
Stochastic systems,
Quantization,
random dither

##### 4 Stability of Stochastic Model Predictive Control for Schrödinger Equation with Finite Approximation

**Authors:**
Tomoaki Hashimoto

**Abstract:**

**Keywords:**
Optimal Control,
Quantum Systems,
Stochastic systems,
Stabilization

##### 3 Solutions to Probabilistic Constrained Optimal Control Problems Using Concentration Inequalities

**Authors:**
Tomoaki Hashimoto

**Abstract:**

**Keywords:**
Optimal Control,
Stochastic systems,
discrete-time systems,
probabilistic constraints

##### 2 Conservativeness of Probabilistic Constrained Optimal Control Method for Unknown Probability Distribution

**Authors:**
Tomoaki Hashimoto

**Abstract:**

**Keywords:**
Optimal Control,
Stochastic systems,
discrete time systems,
probabilistic constraints

##### 1 Computational Simulations on Stability of Model Predictive Control for Linear Discrete-Time Stochastic Systems

**Authors:**
Tomoaki Hashimoto

**Abstract:**

**Keywords:**
Optimal Control,
Predictive control,
Stochastic systems,
computational simulations,
discrete-time systems