The parameters measurement of liquid film in gas-liquid two-phase annular flow is of great significance for the study of heat and mass transfer and flow characteristics. Laser-induced fluorescence technique based on o...
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In order to study high-performance pulse-width modulation (PWM) rectifier, a novel dual loop control strategy was proposed using sliding mode control and repetitive control with good anti disturbance performance in ap...
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Brushless direct current (BLDC) motor is widely used in small and medium side electric vehicles as it exhibit highest specific power and thermal efficiency compared with induction motor. The permanent magnets in the r...
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This paper considers the problem of global output feedback stabilization via sampled-data control for a class of uncertain nonlinear systems subject to time delays. The system satisfies a lower-triangular linear growt...
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ISBN:
(纸本)9781467374439
This paper considers the problem of global output feedback stabilization via sampled-data control for a class of uncertain nonlinear systems subject to time delays. The system satisfies a lower-triangular linear growth condition with unknown growth rates. A new inductive method is first introduced to estimate the state growth in the presence of time delays and nonvarnishing nonlinearities. When only the output of the system is measurable, with the help of output domination approach, a sampled-data output feedback controller is constructed to solve the global stabilization problem. The proposed sampled-data controller is linear in structure and therefore can be easily implemented in practice.
Due to the sharp increase of the non-linear loads, the power quality lagged behind the need for an adequate power system. With a fast response, low loss, low output harmonic current, SVG has become the mainstream of d...
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In this paper, the problem of adaptive fuzzy tracking control is considered of uncertain switched nonlinear systems with an output constraint. First, a barrier Lyapunov function (BLF) is employed to deal with the outp...
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Face gender recognition is a very challenging problem in computer vision, which plays an important role in many visual applications. In this paper, we present a framework that combines the unsupervised dictionary lear...
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ISBN:
(纸本)9781467395885
Face gender recognition is a very challenging problem in computer vision, which plays an important role in many visual applications. In this paper, we present a framework that combines the unsupervised dictionary learning and supervised classifier training together to this gender recognition problem. We firstly apply sparse nonnegative matrix factorization (sparse NMF) to learn intrinsic part-based dictionary from face images in an unsupervised manner. After that we encode all the data by the learned dictionary, and train a SVM or logistic regression classifier in a supervised manner on those representations. Our experimental results show that the learned dictionaries by sparse NMF can not only capture meaningful features from the faces, but also boost the performance of the subsequent classifier in terms of classification accuracies and speeds.
With the rapid development of the Beidou system, it is important to research the acquisition of B1I signal. In order to acquire the MEO/IGSO satellites signal modulated with 1 kbps NH code in interference environment ...
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Based on the concept of optimizing the efficiency of the automated solar system in residential buildings application, this paper proposed a High efficiency solar Cut-Off charge controller as an alternative to the main...
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This paper studies the containment and group dispersion control for a multi-robot system in the presence of dynamic leaders. Each robot is represented by a doubleintegrator dynamic model and a distributed control algo...
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This paper studies the containment and group dispersion control for a multi-robot system in the presence of dynamic leaders. Each robot is represented by a doubleintegrator dynamic model and a distributed control algorithm is developed to drive the multi-robot system to follow a group of dynamic leaders with containment and group dispersion behaviors. The effectiveness of the algorithm is then verified on a multi-robot control platform.
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