As the number of elderly people increases, the demand of vital sign continuous measurement devices for health monitoring is increasing. We are aiming at the development of wearable vital signs measuring equipment using Fiber Bragg Grating (FBG) sensor which is an optical fiber type strain sensor. In this report, blood pressure prediction was performed on seven elderly people with different pulse wave patterns, and the results were examined. The blood pressure was predicted by constructing a calibration model by Partial Least Squares Regression (PLSR) from the reference blood pressure measured simultaneously with the pulse wave measured by the FBG sensor. As a result, the blood pressure prediction error of all subjects become 6mmHg for systolic blood pressure and 4mmHg for diastolic blood pressure, which indicate the possibility of blood pressure prediction using FBG sensor in elderly people with different pulse wave patterns. In addition, it is possible to construct a calibration model for more accurate blood pressure prediction.

Establishment of technology to avoid accidents caused by human errors of vehicles is an important issue in society. In recent years, a control method based on a revived transformation has been proposed to cope with the state constraint problem. Moreover, regarding the safety of the system, there is a method to design the regulation mapping based on the viability theory. This paper presents regulation mapping design using the revived transformation for an input affine nonlinear system based on the viability theory. The proposed method guarantees that the state of the system remains in the safe area by any human input. Firstly, we show the state space becomes the safe area using the revived transformation for an input affine nonlinear system. Secondly, we show regulation mapping design under a human operation for an input affine nonlinear system. Finally, the effectiveness of the proposed method is confirmed by an example.

This paper deals with photovoltaic (PV) power prediction and building energy management system (BEMS) in multiple buildings. First, we consider PV power prediction. We predict PV power by using k-means method and SVR. However, there is an error between prediction and actual generation. In order to solve this issue, we estimate prediction error in advance by markov process and revise the prediction. And, by applying copula to calculated point prediction, calculate interval prediction. Second, we consider 2 level BEMS. At first level, in each building, power consumption is determined considering comfort. At second level, in order to reduce total cost in all buildings, battery scheduling is calculated with robustness by applying scenario robust theory. And, at the end of each section, simulation results show the effectiveness of proposed prediction method and energy management method.

Guided elastic waves are used for the non-destructive evaluation of plate-like structures. In recent years, manufacturing based on composites has increased gradually. However, the elastic wave dynamics in such materials is considerably more complicated. The conventional time-of-flight technique is not reliable for locating the defects even in isotropic plates because of the dispersiveness in the Lamb wave propagation. Avoiding difficulties caused by the dispersiveness, this paper proposes a novel imaging method based on the point-source constrained partial differential equation in order to reconstruct the silhouette image of the subsurface defects. A theoretical analysis of the proposed method is developed for single point-like defect in the isotropic plate. Numerical evaluation and several experimental results are presented to verify the image reconstruction process of the subsurface defects in the CFRP plates.

Fictitious Reference Iterative Tuning (FRIT) have been reported for many applications, in which the control gain can be optimized so that the closed loop system corresponds with the reference model based on only one experiment data. However, when the reference model is not appropriate, there is a problem that not only the control performance is deteriorated but also the control system may become unstable. Instead of using model matching to the closed-loop reference model, we thought that this problem could be solved by optimizing the settling time and overshoot. To measure settling time and overshoot, the time response is required. The time response can be predicted using Kaneko's method [Takahashi, 2019], but this method requires the order of the closed loop transfer function. In this paper, the method [Takahashi, 2019] is reconsidered as a frequency response based method so that the order is not required. Furthermore, as another approach of FRIT, this paper proposes a method called ‘Virtual Time-response based Iterative Gain Evaluation and Redesign’ (V-Tiger) which iterates to measure the overshoot and settling time from the virtual time responses, and to evaluate and redesign the controller gain.

This paper presents a design method of static output feedback controllers that guarantees asymptotic stability for an extended plant of linear discrete-time systems with a periodic event-triggering condition based on the output error. The extended plant consists of an original plant and a filter that generates the input signal to the plant. Then the proposed static output feedback controller generates the auxiliary input from the triggered output signal of the plant. The design conditions proposed are reduced to convex conditions, while conventional design methods of static feedback controllers need some approximation. Numerical examples illustrate the effectiveness of the proposed event-triggered control.

An approach to optimal design of a nonlinear servo system is proposed with the stable-manifold method and a shooting method. In particular, a shooting method is used for reduction of trials and errors in the stable-manifold method, which is a promising method for nonlinear optimal control. A basic idea is to apply the approach of Sakamoto-Rehák to nonlinear optimal tracking of a periodic reference signal. However, the result is interpreted in terms of regulation of a periodic error system so that a shooting method becomes applicable. As an illustrative example, tracking control of a satellite is considered and the result is compared with that of the linear optimal tracking control.

In this paper, a day-ahead electricity market where multiple consumers and suppliers in several regions bid for per unit electricity price and ISO decides power disaptch and inter-regional power flow amount is considered. We show that if ISO maximizes the difference between payment from customers and payment to suppliers, then the social welfare will be maximized. Then, we propose an algorithm to solve the optimal power dispatch problem using dual decomposition. Finally, simulation results show the effectiveness of the proposed algorithm.