Yoichi Hirashima

  • Citations Per Year
Learn More
A 50-day-old boy with severe lactose intolerance is described. In addition to vomiting, failure to thrive, dehydration, metabolic acidosis and amino aciduria, bilateral cataracts were also found. At three months of age, a computerized axial tomography scan and an electroencephalogram were abnormal, and myoclonic spasms began at the age of seven months.
This paper deals with a plant output tracking design problem of perturbed nonlinear plants by using robust right coprime factorization approach. One of the interesting control system design schemes, which was given by G. Chen and Z. Han, uses robustness of the right coprime factorization for robust stability of the closed-loop system with perturbation.(More)
In this paper, a swing-up control scheme for a serial double inverted pendulum is proposed. The control scheme is to swing up the pendulum in three steps, Step 1: to swing up the first pendulum, Step 2: to swing up the second pendulum while stabilizing the first pendulum at the upright position, and Step 3: to stabilize the two pendulums around the unstable(More)
The time varying human multijoint arm dynamics can be modeled by two factors, simplified musculoskeletal dynamics and the uncertainty factor consisting of measurement noises and modeling error of a rigid body dynamics. In some cases, the uncertainty factor may not be Gaussian; the Kalman filter is no longer the optimal filter. In this paper, for the(More)
This paper addresses scheduling problems on the material handling operation at marine container-yard terminals. The layout, removal order and removal distination of containers are simultaneously optimized in order to reduce the waiting time for a vessel. The schedule of container-movements is derived by autonomous learning method based on a new learning(More)
In recent years, the number of shipping containers grows rapidly, and in many container yard terminals, increasing throughput of material handling operation becomes important issue as well as decreasing the turnaround times of vessels. Material handling operations for loading containers into a vessel is highly complex, and the complexity grows at an(More)
This paper proposes a new scheduling method for a marshaling in the container yard terminal. The proposed method is derived based on Q-Learning algorithm considering the desired position of containers that are to be loaded into a ship. In the method, 3 processes can be optimized simultaneously: rearrangement order of containers, layout of containers(More)
In container yard terminals, containers brought by trucks in the random order. Containers have to be loaded into the ship in a certain order, since each container has its own shipping destination and it cannot be rearranged after loading. Therefore, containers have to be rearranged from the initial arrangement into the desired arrangement before shipping.(More)
This paper proposes a new marshaling method for assembling an outgoing train from freight cars incoming with a random order. In the proposed method, marshaling plans based on the processing time can be obtained by a reinforcement learning system. Also, the incoming freight cars are classified into several ``sub-tracks'' searching better assignment in order(More)