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Robust state estimation of a discrete time-varying uncertain system is investigated in this paper when there are not only process and measurement noise, but also parameter uncertainties which affect a state-space model arbitrarily. The expectation minimization based robust state estimation is generalized to uncertain linear systems with a known deterministic input signal. The derived robust estimator...
This Paper carried out three phase and single phase short circuit tests and verified the security and stability of large scale wind farms integration on Rongcheng power station. Including location and type of short circuit, system operation conditions and measurement of date, summarized the main work between the wind farms short circuit test. Following the ideas of “unit level-wire level-wind farm...
Connected automated vehicles are now moving towards reality. With the help of advanced artificial intelligence and vehicle-to-vehicle/ vehicle-to-infrastructure communication, connected automated vehicles can keep higher speed with shorter headway, and drive with neighboring vehicles to formulate platoons. The application of connected automated vehicles will change the relationship of traffic flow...
In order to improve the accuracy and stability of industrial fault detection and diagnosis, this paper introduces the deep learning theory and proposes an improved Deep Belief Networks (DBNs). In the first, this paper introduces the “centering trick” in the pre-training process of network. This method is done by subtracting offset values from visible and hidden variables. Then, in the process of network...
In view of the emotional polarity classification problem, the deep learning has the disadvantages of incomplete information extraction and low precision, a model combining bi-directional gated recurrent unit with multiple convolution neural network is proposed. The unit is used to extract the history and future information of the sentence, then use the multi-convolution neural network for system training,...
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...
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 considers the impulsive H∞ control problem for a class of discrete-time Markovian jump delay systems for the first time. Some sufficient conditions are given in terms of matrix inequalities. A numerical example is presented to show the effectiveness of the theoretical results.
For speed control system of ship main engine has the typical characteristics of the nonlinear and uncertainty, so it is very difficult to design speed control system of ship main engine. In order to solve the problem, active disturbance rejection speed control system is designed, which the active disturbance rejection control technology is not dependent on the system model. According to the main engine...
Grid connection of distributed generation would have a certain impact on safe and stable operation of receiving-end network, so systematic analysis on it would be significant. The method for comprehensive assessment on effects caused by grid connection of distributed generation on power grid is presented. The assessment system is divided into steady-state operation assessment, reliability assessment,...
In this paper, a model independent PD with sliding mode control (PD-SMC) method for the bionic eye system is proposed. The designed controller is model independent, and has the advantages of both simple structure, easy design of PD controller and strong robustness of SMC method with respect to system parameter uncertainty. Lyapunov techniques and LaSalle's invariance theorem are used to support the...
The vehicle monitoring systems are consisted with more than one server. This involves problem of the information sharing and message transmission among the servers. Communication service system is mainly responsible for the problem of how to transfer and analysis of information. This paper puts forward a kind of optimization design method of communication service system for vehicle remote monitoring...
In this paper, we propose a predictor-based sliding mode control algorithm for LTI systems with input-delay and disturbance. It is shown that our proposed algorithm can completely reject the constant disturbance from the state channel. It is also shown that with our proposed algorithm, an enhanced disturbance rejection can be achieved for a large class of other time-varying disturbances. Simulations...
Storage reliability of the ammunition dominates the efforts in achieving the mission reliability goal. Prediction of storage reliability is important in practice to monitor the ammunition quality. In this paper we provided an integrated method where particle swarm optimization (PSO) algorithm is applied to adjust and optimize the BP neural network global parameters (weights and thresholds). The experiment...
This paper addresses a local formation tracking control for multiple first-order agents in 3D space, where each agent's trajectory converges to the given super-ellipsoid and the tracking target is movement with an unknown speed. Differing from the using of GPS in the literature, a new distributed solution is given based on local measurements of relative position. To develop the spherical formation...
Low-resolution (LR) is a challenging problem in the real world. In order to obtain better performance for low-resolution face recognition (LRFR), this paper employs a novel approach for matching low-resolution images with high resolution (HR) images based on two-dimensional linear discriminant analysis (2D-LDA) and metric learning method. The LR and HR images are transformed into a common space via...
This paper proposes an ejector refrigeration system driven by automobile exhaust waste heat. As the waste heat varies with operating conditions, maintaining the performance of this system is a challenging task. This work focuses on the design of a model predictive controller for this system. Based on the characteristics of the ejector, the key controller objective is to fast track critical operation...
Considering the nonlinear bistable vibrational resonance(VR) system, the mean signal-noise-ratio gain(MSNRI) is taken as performance index and VR phenomenon subjected to the action of high and low frequency signals is studied under α stable noise. Then the action laws between the amplitude B and frequency Ω of a high frequency drive signal on the resonant output effect is explored. Finally, the multi-high...
In 3D video system, storing and transmitting the large amount of high definition videos is the main challenge. To further reduce video content related redundant data in 3D video encoded with HEVC, this paper proposes an saliency-based joint distortion model for 3D video encoding, which jointly considers the distortion of texture and depth, as well as synthesis distortion. With this model, two optimization...
In this paper, the emergency braking of high speed train is studied, and the relationship between the braking force, resistance, speed and deceleration is discussed. According to the Newton's second law of motion, by discretizing the speed and displacement, the emergency braking model of high speed train is established. Further, the unobserved braking parameters of model are identified by the iterative...
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