The perovskite solar cell (PSC) has been gaining rapid attention for its high power conversion efficiency, which is similar to widely-used silicon solar cells (SSCs), while being thin, lightweight, and suitable for installation on curved surfaces. On the other hand, it is well-known that PSCs exhibit hysteresis in their transient current-voltage characteristics, which introduces uncertainty in their electrical performance compared to SSCs and is one of the factors preventing their fully practical application. In this study, we propose a new module that retains the physical advantages of PSCs while ensuring that their transient characteristics around the maximum power point (MPP) closely mimic those of SSCs. This module consists of a PSC and a model-matching controller, which regulates only the transient characteristics around the MPP while keeping the steady-state current-voltage characteristics unchanged. Furthermore, since the hysteresis property can vary depending on manufacturing processes, we consider designing the controller through grey-box modeling. Finally, we validate the effectiveness of the proposed module through numerical simulations using the equivalent circuit model of PSC.

In this research, we deal with model predictive control problem with disturbances based on Signal Temporal Logic specifications. In this paper, we theoretically analyze the feasibility of model predictive control problems and derive sufficient conditions for recursive feasibility. The proposed algorithm has the advantage that recursive feasibility can be determined in advance (by initial conditions). Finally, we show the effectiveness of the proposed method by confirming that the theoretical and numerical results agree with each other under generic vehicle driving scenarios, using self-driving cars.

Phase-contrast CT using high-brilliance synchrotron radiation X-rays has been used to visualize microanatomical structures in various biological specimens because it can image biological soft tissues with high contrast. However, the imaging methods proposed so far for phase-contrast CT require a certain space between the subject and the X-ray camera, which makes it difficult to obtain high spatial resolution because blurring due to penumbra caused by the distance between the subject and the X-ray camera cannot be reduced. To resolve this problem, we have developed an X-ray diffraction wavefront imaging technique called Superimposed wavefront imaging of diffraction-enhanced X-rays (SWIDeX) that uses a Laue-case Si angle analyzer, which is tightly attached to a scintillator that converts X-rays to visible light, to obtain second-order differential phase contrast images. This method minimizes the space between the subject and the X-ray camera and provides higher spatial resolution than conventional methods. In this paper, we derive a CT reconstruction theorem using SWIDeX and demonstrate the effectiveness of the proposed method from actual imaging experiments using synchrotron radiation.

This paper deals with a dynamic pricing design for a Load Frequency Control (LFC) system considering Demand Response (DR) and an overall system stability analysis. Dynamic pricing is designed so that the demand side can contribute to adjusting the energy balance between consumer and supplier. This method is designed using passivity theory as it can achieve Lyapnov stable and asymptotically stable of the system. To analyze the system stability, LFC system is formulated to facilitate the application of passivity analysis by decomposing into physical sistem, dynamic pricing system and transmission network system. Espesially, the physical dynamics of the area system doesn't have enough passivity, hence we formulate the dynamic pricing algorithm to compensate for its lack of passivity considering utility of supplier and Demand response participants. Simulation results show that the frequency deviation and other states converge to a certain value under the proposed dynamic pricing method.