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To examine whether the cerebrum is essential for producing the rapid cardiovascular adjustment at the beginning of overground locomotion, we examined heart rate (HR), mean arterial blood pressure (MAP), and integrated electromyogram (iEMG) of the forelimb triceps brachialis muscle in freely moving decerebrate cats during locomotion. Two to four days after(More)
BACKGROUND/AIMS The understanding of the physiology and function of human biliary epithelial cells (hBEC) has been improved by studies in monolayer culture systems. The aim was to develop a polarized model to elucidate the mechanisms of ductular morphogenesis and functional differentiation of hBEC. METHODS The morphological, phenotypic and functional(More)
— In this paper, we propose a design method of hierarchical distributed controllers for networked linear systems. The hierarchical distributed controller has an advantage that an L2-performance of the closed-loop system improves as improving a performance of local controllers that stabilize disjoint subsystems individually. Towards systematic design, we(More)
To examine a hypothesis of whether static muscle contraction produces a release of catecholamines from the adrenal medulla via reflex stimulation of preganglionic adrenal sympathetic nerve activity induced by receptors in the contracting muscle, we compared the reflex responses in a concentration of epinephrine (Ep) and norepinephrine (NEp) in arterial(More)
— In this paper, we propose a design method of hierarchical decentralized observers for networked linear systems. In this method, based on suitable state-space expansion of the network systems, we, first, find a high-dimensional dynamical compensator that can achieve ideal performance for decentralized state estimation. Next, fully utilizing model reduction(More)
This paper is concerned with how to develop a new system control theory for providing systematic design methods of hierarchical networked systems composed of various kinds of subsystems from the glocal (global/local) control view point. Through examinations of energy network control we first explain the idea and concept of glocal control and propose a(More)
— In this paper, we propose an algorithm of adap-tive optimal control scheme for systems whose dynamics are unknown and the states are contaminated by noises. The basic control law is Policy Iteration which can solve HJB equation recursively. In the proposed method, the value function is estimated using a nonlinear filtering but the state of the system is(More)