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In this paper, a new method for reference network considering network topology optimization is proposed. The actual operation mode optimization and the correction control with transmission switching under the contingency situation are taken into account in the proposed method. Based on the forecasted load values of each period in predictive multi-time scale and candidate transmission line schemes...
This paper is concerned with globally asymptotical synchronization of fractional-order memristor-based neural networks (FMNNs) with multiple time-varying delays. Based on the definition of memristors, a more practical model of FMNNs with multiple time-varying delays is constructed from the integerorder counterparts. FMNNs are represented by fractional-order differential equations with discontinuous...
Monte-Carlo sampling method in reliability evaluation has defects of great sampling number and low efficiency. This paper proposed control variable method in power system integrated with wind power unit, considering its feather of small unit capacity and large unit number. The proposed method is carried out on the IEEE RTS79 test system, compares with the conventional Monte-Carlo method and the average...
It is a common issue to remove undesirable objects during reconstruction. The holes left behind are then needed to be given plausible information for the integrity. To complete the missing part of a 3D map generated from stereo inputs, the task can be separated into two operations which are repairing the color image and the depth map. In this paper, we design and release a specialized stereo dataset...
This paper is concerned with the adaptive backstepping quantized control problem for a class of output-constrained nonlinear systems. Based on a new transformation of the control signal, the system does not require any assumptions. Firstly, the hysteretic quantizer is decomposed into a linear part and a nonlinear part. Then, by constructing an appropriate Lyapunov function and choosing some proper...
In the field of video-based fire detection, traditional fire color models have poor adaptability and susceptibleness to environmental interference. As fire can be divided into fire core, inner fire and outer fire layers depending on its temperature and color, a new fire detection model based on dispersion of fire color components has been proposed by the author. In order to further reduce false alarm,...
For remote sensing image understanding, target detection is one of the most important tasks. In this paper, we propose one object detection method based on region proposal detection via active contour model and detection based on one-class classification method. The large scale remote sensing image is split into several connected components. And then, the proposed algorithm detects the object from...
Recently, deep learning has been proposed and verified to possess the strong ability to learn and express complex features, which has brought significant research achievements in signal processing. As a challenging task in speech signal processing, monaural speech separation has always been the research focus of researchers. From the usage of traditional signal processing methods and shallow models...
To achieve automatic generation control (AGC), the constant active power control is required for wind turbine generators (WTG). The accurate estimation of available wind power (AWP) is a prerequisite for WTGs to effectively participate in AGC and enhance the performance of AGC. In such a case, the maximum power point tracking (MPPT) control is not adopted and accordingly the MPPT principle cannot...
Compared with the outdoor vehicle navigation system, the indoor environment is complex, the difficulty of positioning is greatly increased. It is effective to improve the positioning accuracy by combining the feature points of the indoor building plane information and the feature points in pedestrian walk. This paper chooses the intersection of the paths and the turning points of the pedestrian movement...
Aiming at the security problem of cooperative robots, this paper presents a low cost collision detection algorithm without torque sensors. In this method, the collision can be detected with the sampling torque and the dynamic model. First, the relationship between the output torque and the motion state of the rotating joint of the robot is established according to the Newton Euler method. For the...
In order to achieve the maximum power extraction below its rated value, wind turbine is generally controlled by maximum power point tracking (MPPT) strategies. However, due to the large inertia of wind turbines, it is difficult to adjust the rotor speed according to the highly fluctuant wind speed accurately and quickly. Consequently, the efficiency of wind energy extraction will not reach its theoretical...
Greenhouse climate is difficult to model as a complex nonlinear system. The solution to the problem of describing the relation between inputs and outputs is using T-S fuzzy modeling which could transform a nonlinear system into several linear systems. During the transition, c-means clustering is used to cluster the variable of inputs and outputs. The result of clustering determines the compose of...
In order to meet the real-time requirement of onborad landing footprint generation, a fast onboard method based on neural network is proposed. We have analyzed the characteristics of the footprint of differernt vehicles and found that the boundary under downrange-crossrange description is similar to the ellipse. Then, the footprint samples are obtained by the trajectory optimization algorithm off-line...
A concatenated LSTM (Long Short-Term Memory) architecture for CHP (combined heat and power) heat load forecasting was presented. Firstly, input data was normalized and separated into historical climate and heat load data. Then feed the separated data into two LSTM neural networks. Finally, the two LSTM models were concatenated as inputs to another LSTM model followed by two dense layers. Relu function...
Greenhouse system is a MIMO(multi-input, multioutput), non-linear, strong coupling system. Nowadays, most of the greenhouse control methods using PID control cannot relieve the coupling between variables, so the effects of these controls are not ideal. Aiming at these problems, a feedback linearization decoupling method is designed for the coupling between CO2 concentration, temperature and humidity,...
A compact dual-band rectangular ring printed antenna for wireless local area network (WLAN) applications is proposed and investigated in this paper. The dual-band is realized by using a rectangular ring patch connected with a 50Ω mini-coaxial feed structure composed of a longitudinal slot and a small rectangular, occupying a small board space of 30.6mm∗6mm on the system circuit board. With a modified...
Magnetic nanoparticle (MNP) thermometry will be necessary for safe therapeutic implementation of magnetic nanoparticle hyperthermia, a developing cancer treatment. One realization of a MNP thermometer works by detecting harmonic signal (the fundamental f and 3f harmonics) generated by MNPs exposed to ac magnetic field. In this paper, we aim to measure accurately the harmonic signal in a MNP thermometer,...
Brain tumor segmentation from magnetic resonance images is a critical step for early tumor diagnosis and treatment. However, accurate and general segmentation of brain tumor is still a challenging task due to complicated characteristics of brain tumor in magnetic resonance images. To solve this problem, we proposed a novel method for brain tumor segmentation based on features of separated local square...
Hybrid AC/DC microgrid (MG) has attracted more and more attention due to its advantages such as better power sharing, improved system dynamics, and optimal management. But the complicated structure brings a great challenge to the modeling and stability analysis. In recent years, dynamic phasor model has been well applied in the modeling of AC MGs. Dynamic phasor tranforms sinusoidal quantities to...
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