This paper describes a novel and simple method to evaluate the air permeability of building, which is evaluated by the air leakage area of building. The conventional measurement procedure defined in JIS A2201: 2017 requires a high power air blower, a flowmeter and a fine differential pressure sensor as equipment and requires the accurate measurement which must conduct by licensed investigators. The proposed method measures the changes in low frequency pressure by a low frequency microphone set in the building in the cases that all of the windows are closed and one of the windows is slightly open during when the automatic closer door is closing. From the pressures of the both cases, the air leakage area is estimated from the area of window opened, which is used as the area reference. The measurement principle is based on Hargen-Poiseuille's formula which treats the incompressible viscous fluid flow rather than the Bernoulli's law which treats perfect fluid which has been used as the base of the JIS method. The air leakage areas evaluated by the JIS method was 531cm², whereas those evaluated by the proposed methods ranged from 538cm² to 542cm² with average of 540cm², under the optimal window opening conditions for a real room whose directly measureable leakage area was 405cm². This novel and simple method yields the similar degree of measurement accuracy with the JIS method.

This paper investigates a hierarchical transactive control and proposes a novel balancing market design in energy supply-demand network integrating dynamic power networks and electricity balancing markets. The proposed balancing market is composed of a novel finite-horizon differential-game based primary/secondary balancing market and a new tertiary balancing market via a dual decomposition method. In particular, the primary/secondary balancing market has a function of tracking the set-point signals generated by the tertiary market while guaranteeing ancillary services. The effectiveness and limitation of the proposed market and control mechanism are finally demonstrated through simulations with IEEJ East 30-machine system.

For a class of symmetric systems that consist of a collocated second-order plant and a static output feedback controller, the internal stability and the robustness of the closed-loop system are known to be guaranteed based only on the non-parametric condition in the absence of any input constraint. This study extends this work and investigates the stability of symmetric systems under input saturation. First, we show a stability condition for the system with saturated input. Then from practical reasons, we represent it with a polytopic stability condition. Finally, numerical simulation results are shown to verify the discussions.

Knock limit control is necessary for high efficient operation of automotive engines. In this paper, we propose an identification and control method of the engine knock using a Gaussian process. Feedforward input is designed by the Gaussian process model approximating knock probability, and its model is updated online by a feedback of the knock intensity value. As modeling methods using the Gaussian process, we apply a heteroscedastic Gaussian process and a recursive Gaussian process. The effectiveness of the proposed method is demonstrated by a numerical simulation.

This paper is concerned with pole placement of a positive system whose states take nonnegative values whenever the initial states and inputs are nonnegative. Since assigning the poles of a positive system to any desirable values with preserving its nonnegativity is not possible, Perron root based pole assignability is introduced as a counterpart of standard pole assignability. Then a necessary and sufficient condition of the assignability is given as a linear programming form. A state feedback gain which achieves the pole assignment is also derived.