Chiung-Chou Liao

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In recent years, PV (Photovoltaic) system installation increase is not only in quantity, but also in large system or even in power plant. The accumulated installed capacity is getting large, and this could affect entire grid power management and scheduling. Based on this consideration, solar irradiance prediction becomes very important to estimate PV power(More)
The wavelet transform (WT) technique has been proposed for detecting and localizing a transient disturbance in power systems. The disturbance is detected by comparing the transformed signal with an empirically given threshold. However, as the signal under analysis contains noises, especially the white noise with flat spectrum, the threshold is difficult to(More)
We studied, numerically, the characteristics of the surface plasmon of a system consisting of several pair arrays of silver-shell nanocylinders. Effects from different numbers of pair arrays, illumination wavelengths, and the core refractive index of silver-shell nanocylinders are studied by using the finite-element method. Results show that the peak(More)
This paper develops an adaptive neuro-wavelet control (ANWC) strategy to resolve the ship trajectory tracking problem. The proposed control system consists of an adaptive neuro-wavelet controller and a robust controller. The adaptive neuro-wavelet controller using a wavelet neural network (WNN) is the principal tracking controller based on sliding mode(More)
This study investigates three model-free control strategies including a simple proportional-integral-differential (PID) scheme, a fuzzy-neural-network (FNN) control and a robust control for a hybrid magnetic levitation (maglev) system. In general, the lumped dynamic model of a hybrid maglev system can be derived by the transforming principle from electrical(More)
In this paper, a dynamic Takagi-Sugeno-Kang type cerebellar model articulation controller (TSKCMAC) neural network is developed for solving the prediction and identification problem. A dynamic TSKCMAC is combines both the merits of TSK fuzzy model and conventional cerebellar model articulation controller (CMAC). The proposed dynamic TSKCMAC has superior(More)
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