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This study is concerned with the robust adaptive neural network optimal control problem for a class of nonlinear systems with parameter uncertainties and external disturbances. By using neural network (NN) to approximate the unknown nonlinear function within a suitable compact set, a novel adaptive neural network optimal controller with the adjustable parameter updated laws is designed. Furthermore,...
This paper presents a novel method for anomaly detection in hyperspectral image(HSI) based on low-rank representation. In the observed HSI, the anomalies can be separated from the background. Since each pixel in the background can be approximately represented by a background dictionary, and the representation coefficients of the background pixels are correlative, a low-rank representation model is...
Dynamic voltage restorer (DVR) is a cost effective solution to solve the grid voltage sag problem. Recently DVR is used to fulfill LVRT capability for DFIG wind power systems. The terminal voltage of wind farms usually has large fluctuation and is distorted by voltage harmonics when connected to weak grid. This demands a high requirement for sag detection algorithm, which should detect the voltage...
Task-accurate performance estimation methods are widely applied in early design phases to explore different architecture options. These methods rely on accurate annotations generated by software profiling or real measurements to guarantee accurate results. However, in practice, such accurate annotations are not available in early design phases due to lack of source code and hardware platform. Instead,...
the torsional vibration model in main drive system of cold rolling mill is built with the consideration of nonlinear stiffness and nonlinear friction coefficient. The global sliding mode controller is designed for rolling mill drive system for rejecting plants with rolling parameters' uncertainties, as well as a better tracking behavior. Simulation results show the validity of the nonlinear model...
Long design cycles due to the inability to predict silicon realities are a well-known problem that plagues analog/RF integrated circuit product development. As this problem worsens for nanoscale IC technologies, the high cost of design and multiple manufacturing spins causes fewer products to have the volume required to support full-custom implementation. Design reuse and analog synthesis make analog/RF...
PID controller design for multivariable processes is studied in this paper based on loop-shaping Hinfin control. In order to implement the complex Hinfin controller, We propose a method to reduce it to a multivariable PID controller, and give a method to choose the pre-compensator which determines the performance of the closed-loop system. The main contribution of the design method is that the PID...
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