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In Phalaenopsis, lowering irradiance has been used to delay flower stalk development but the accompanying biochemical changes remain poorly understood. We cultured two commercial Phalaenopsis-type orchids, Phalaenopsis cv. Sogo Yukidian V3, and Doritaneopsis cv. Walnut Valley Halo ES09 under reduced irradiance by under-bench shading (approximately 15 % of(More)
This brief studies an adaptive neural output feedback tracking control of uncertain nonlinear multi-input-multi-output (MIMO) systems in the discrete-time form. The considered MIMO systems are composed of n subsystems with the couplings of inputs and states among subsystems. In order to solve the noncausal problem and decouple the couplings, it needs to(More)
An adaptive output feedback control is studied for uncertain nonlinear single-input-single-output systems with partial unmeasured states. In the scheme, a reduced-order observer (ROO) is designed to estimate those unmeasured states. By employing radial basis function neural networks and incorporating the ROO into a new backstepping design, an adaptive(More)
ETHNOPHARMACOLOGICAL RELEVANCE Hemerocallis citrina, a traditional herbal medicine, has been used for the improvement of emotions in Eastern-Asia countries. AIM OF THE STUDY Herein, we explored the antidepressant-like effect and its monoaminergic mechanism of the ethanol extracts from Hemerocallis citrina (HCE). MATERIALS AND METHODS Effect of HCE (90,(More)
In this paper, a direct adaptive neural network control algorithm based on the backstepping technique is proposed for a class of uncertain nonlinear discrete-time systems in the strict-feedback form. The neural networks are utilized to approximate unknown functions, and a stable adaptive neural network controller is synthesized. The fact that all the(More)