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During the operation of the coal-fired boiler, dust and slag will accumulated in the inner heat exchange surface. Removing the dust and slag is able to improve production efficiency, reduce pollution emissions and decrease production accidents. It is widely used in many plants due to its advantages like large dust removing area, low energy consumption and low investment. In this paper, a new structure...
Accurate wind speed prediction is vital for improving the efficiency and reliability of wind power system operation. In this paper, a novel structure of forecasting method, the State Transition ANN model (T-ANN), is proposed for hourly wind speed forecasting. In the proposed method, the ‘state’ is determined to describe the characteristic of the wind speed time series. Mapping relationship between...
This paper investigates the problem of stabilization of discrete-time systems with multiple actuator delays. The delays in the system are time-varying or even unknown. By developing the methodology of truncated pseudo predictor feedback (TPPF), state feedback control laws which use only the current states of the system are constructed to solve the problem. The modified TPPF controller is memoryless...
Electroencephalogram (EEG) is a widely used experimental tool in psychological research. In this study, we used EEG to research the driving safety by measuring the dynamic changes of drivers' emotions in a long tunnel. Through the study whether there was a tunnel, and whether there was a large amount of traffic flow in the tunnel, we found a long tunnel only makes a slight negative effect on driver's...
In order to maximize capacity utilization and guarantee safe operation of Li-ion battery pack, state-of-charge (SOC) inconsistency estimation is essential. And estimating cell electrochemical internal variables is also the requirement of next generation battery management system (BMS). However, it is challenging for the BMS in electric vehicles due to dynamic current conditions and limited computational...
The output voltage range of renewable energy generations such as wind and photovoltaic can be influenced by the parameters of environment at a wide range, which can not satisfy the requirements of system for grid-connected operation. Therefore high-gain voltage inverter is important to integrate the renewable energy into the utility. For high-gain voltage and standard load voltage at low input DC...
Fault component protection possesses excellent performance, which widely used as fast protection in Smart Grid. However, the traditional extracting method of fault component causes obvious unbalanced outputs during power oscillation. As a result, fault component protection must be blocked during power oscillation, thus its application is restricted. In this paper, a method to improve the accuracy...
Bayesian optimization has been demonstrated as an effective methodology for the global optimization. However, it suffers from a computational bottleneck that the inference time grows cubically with the number of observations. In this paper, a Bayesian optimization based on the data-parallel approach is proposed to alleviate this problem. Firstly, an improved geometry motivated clustering algorithm...
This paper proposes the application of multiobjective model predictive control to achieve a dynamic optimization of boiler combustion system. The utopia point of the multi-objective model predictive control system is firstly calculated, and the optimal control sequence is then determined by finding the trade-off solution closed to the utopia point. By using this approach, the arbitrary weighting functions,...
A dynamic model based on Lagrange principle is derived for an onboard craning manipulator system while the impacts of both gravity and coupling effect are simultaneously considered in this paper. Combining with the designed dynamic model, a trajectory tracking control method is proposed through the approximation theory of neural network system, because the boundary of parameters uncertainties and...
Previous many researches have confirmed that human adapt the position of digits to object attribute, for example, the shape of objects and center of mass (COM). Eight healthy subjects took part in the experiment (four females and four males, aged between 20 and 25 years), and they were righthanded. The goal of this research was to confirm the influence of object's vision and weight on digit placement...
Aiming at the problem of steel grating flame cutting, the algorithm of coordinate compensation including the coordinate compensation of Z-axis and the coordinate compensation in the XY plane is proposed in this paper. Through the coordinate compensation of the Z-axis, the Z-axis can move up and down according to the height of the steel grating by controlling the servo motor of Z-axis to keep a constant...
Dexterous object manipulation requires suitable control of grip force, load force and digit positions. To keep an object stable in the air, force magnitude, force direction and digit positions should be coordinated, producing compensatory torque that could balance the external torque and maintain a minimal object roll. Six males and 6 females enrolled in the study. In the experiment, subjects were...
This paper addresses the stability issues of delayed nonlinear systems of the form x(t) = A(t, x(t), x(t − d(t)))x(t)+B(t, x(t), x(t − d(t)))x (t − d(t)), that is, the system matrices depend on time and the present and past states. By means of a trajectory-based comparison approach, the stability of original nonlinear system is transformed into that of a positive linear system called comparison system...
Image denoising is an extensively studied problem and can be used in many applications. In this paper, we propose an image denoising method using GMM and gradient sparse priors. GMM is a generic model and usually built based on image patches. Despite the high likelihood of GMM for image patches, the model is learned from image patches only. The relationship of neighboring patches is not learned. The...
Compressed sensing (CS) is a novel data acquisition method that makes full use of the sparsity of signal. This paper presents a number of results regarding the construction of redundant dictionary for short duration voltage variation (SDVV) signal compressed sensing. The redundant dictionary was the union of three orthonormal bases: Discrete Fourier Transform (DFT), db1 wavelet transform (WT) and...
This paper studies a formation control problem for multiple mobile robot systems with model uncertainty. The formation is achieved by a distributed robust predictive control algorithm. Firstly, a distributed model of the formation system is derived by using the path tracking error dynamic of single mobile robot. Considering the error of linearization and measurement error caused by the accelerometer...
Accurate and fast detection of harmonics is the basis for active filters to work regularly. Propose an improved generalized IP-IQ harmonic detection algorithm. Analyzed generalized IP-IQ harmonic detection algorithm, pointed out two advantages of this algorithm: It can separate any order of harmonic and detect harmonic correctly even if the voltage of grid is distorted. But the generalized IP-IQ algorithm...
The problem of quantized feedback control for discrete-time singular systems is discussed in this study. Firstly, by defining a quantization dependent Lyapunov function, one novel sufficient condition for the discrete-time singular system to be admissible is derived in terms of the linear matrix inequalities (LMIs). Then, a sufficient condition for the existence of the quantized state feedback controller...
With the growth of the population in the world, energy problem has become a major topic in the world. Energy conservation has become an important part of China's national development strategy. The use of microwave heating instead of traditional heating can greatly improve the utilization rate of energy, and then achieve the goal of energy conservation and emissions reduction. However, due to the uneven...
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