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This paper presents an application of a discrete derivative method with a new frequency mapping technique for adaptive-notch-filter (ANF) based resonance suppression in an actual industrial servo system. An ANF includes a frequency estimator which estimates the frequency of input signal in real time. A new discrete derivative method, which utilizes a modified bilinear transform, was recently developed...
This paper presents a new tuningless control algorithm for a DC servo drive to minimize parameter tuning efforts by an operator. This tuningless algorithm is based on a nonlinear control method, utilizing variable structure control and disturbance compensator. Experiments are performed using a 400 W Tamagawa servo motor and a belt drive load, which is a common combination in automation applications...
In this study, an iterative maximum a posteriori (MAP) approach using a Bayesian model of Markovrandom field (MRF) was proposed for despeckling images that contains speckle. Image process is assumed to combine the random fields associated with the observed intensity process and the image texture process respectively. The objective measure for determining the optimal restoration of this “double compound...
Node localization is a fundamental requirement for deploying real wireless sensor network applications such as hospital logistics, environmental monitoring, and target surveillance. However, recently proposed algorithms still could not attain enough accuracy and are too costly. To improve the previous work, we describe a low cost, high accuracy, scalable, distributed localization algorithm which based...
In this paper, a SAR-despeckling approach of adaptive iteration based a Bayesian model using the lognormal distribution for image intensity and a Gibbs random field (GRF) for image texture is proposed for noise removal of the images that are corrupted by multiplicative speckle noise. When the image intensity is logarithmically transformed, the speckle noise is approximately Gaussian additive noise,...
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