How to stabilize the output voltage while ensuring the maximum charging efficiency of the system is a problem faced by the development of wireless power transfer(WPT). Especially in the dynamic environment, the change...
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How to stabilize the output voltage while ensuring the maximum charging efficiency of the system is a problem faced by the development of wireless power transfer(WPT). Especially in the dynamic environment, the change of system coupling coefficient or load resistance will have a huge impact on the system. In this paper, a two-stage DC-DC converter control mode is used to control the system with the goal of dynamic charging demand. Among them, the system achieves impedance matching through the receiver DC-DC converter to ensure the transmission efficiency of the system, and in order to match the impedance, the voltage and current information in the coil is used to calculate the coupling coefficient, then, the coupling coefficient can be used to achieve maximum efficiency. The system output voltage is stabilized by using the transmitter DC-DC converter. The simulation experiment shows that the control mode can stabilize the output voltage well, and is more efficient than the single receiver closed loop control(SRCLP) system.
This paper studies mean square and almost sure consensus of discrete-time second-order multi-agent systems with time-delays and multiplicative noises in the information exchange with *** using the stochastic stability...
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ISBN:
(纸本)9781509046584
This paper studies mean square and almost sure consensus of discrete-time second-order multi-agent systems with time-delays and multiplicative noises in the information exchange with *** using the stochastic stability theorem of discrete-time stochastic delay systems,we find sufficient conditions for mean square and almost sure consensus explicitly related to the network and control *** is shown that if the network graph is balanced and strongly connected,then the weighted-average type control protocol can be properly designed to ensure mean square and almost sure consensus for any given time-delays and noise intensity coefficients.
The traditional wired seismograph has disadvantages such as cumbersome cable, complicated wiring, crosstalk and noise between adjacent transmission lines. In addition, the dynamic range of the instrument is small, and...
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The traditional wired seismograph has disadvantages such as cumbersome cable, complicated wiring, crosstalk and noise between adjacent transmission lines. In addition, the dynamic range of the instrument is small, and the observation of seismic signals is not intuitive, which can not meet the needs of high-precision seismic exploration. In order to solve these problems, the design of distributed three component seismic data acquisition system based on LoRa wireless communication technology is proposed. The system uses LoRa long-distance wireless communication technology and 24 bit Σ-Δ ADC, which realizes long-distance wireless communication and large dynamic range seismic data acquisition. Besides, the system has man-machine interaction interface, which can observe the parameters of seismic waveform in real time and adjust sampling rate directly. The whole circuit has the advantages of simple design, high precision and good stability. To sum up, the design has certain practical value and application prospect.
This paper investigates the problem of Synchronous control of Fractional gene regulatory *** on the Lyapunov stability judgment method,we apply two kinds of control method,adaptive projection control and adaptive slid...
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ISBN:
(纸本)9781538629185
This paper investigates the problem of Synchronous control of Fractional gene regulatory *** on the Lyapunov stability judgment method,we apply two kinds of control method,adaptive projection control and adaptive sliding mode control,for making system ***,a numerical simulation example is provided to verify the effectiveness and the benefit of the proposed synchronicity criterion.
An improved equivalent-input-disturbance(EID) approach is presented in this paper to promote the transient performance of disturbance rejection in the control system. A high-gain observer(HGO) is introduced to the con...
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An improved equivalent-input-disturbance(EID) approach is presented in this paper to promote the transient performance of disturbance rejection in the control system. A high-gain observer(HGO) is introduced to the conventional EID method to accelerate the convergence of state error. This makes the estimated disturbance tracking the exogenous disturbance more quickly and more precisely. First, the configuration of an improved EID-based control system is described. Then, a sufficient stability condition is derived in terms of a linear matrix inequality(LMI). The resulting LMI is used to find the gains of state observer and state feedback controller. Finally, the validity of the devised method and its superiority over a conventional EID method is demonstrated through the simulation of a numerical example.
This paper investigates the stability of linear systems with a time-varying delay. We propose a new approach to construct Lyapunuv-Krasovskii functional (LKF). Compared with other traditional approach, the proposed on...
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This paper focuses on extracting effective vitrinite reflectance features, and selecting the most important features to predict coke quality. Feature extraction method based on Gaussian model is proposed, which can ex...
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This paper focuses on extracting effective vitrinite reflectance features, and selecting the most important features to predict coke quality. Feature extraction method based on Gaussian model is proposed, which can extract vitrinite reflectance features, the vitrinite reflectance features and traditional features are fused together to excavate the relationship between coal and coke quality. Then Xgboost is used as a new feature selection method to measure features importance and remove the redundant features. Finally, high correlation features are selected as input variables to predict coke quality, which can enhance prediction performance and stability. Experimental results show that the proposal outperforms prediction model based on traditional indicators.
This paper presents a maximum power point tracking controller for a PV solar system. The PV solar system is connected to the load through a DC-DC boost converter which is controlled by Adaptive Neuro-Fuzzy Inference S...
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This paper studies synchronization tracking problems of heterogeneous robotic systems in the presence of kinematic uncertainties, dynamic uncertainties and communication delays. To solve the above problems, this paper...
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Adaptive Dynamic Programming (ADP) with critic-actor structure is a useful way to achieve online learning control. The Gaussian-Kernel Function Adaptive Dynamic Programming (GK-ADP) algorithm does not need to preset t...
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Adaptive Dynamic Programming (ADP) with critic-actor structure is a useful way to achieve online learning control. The Gaussian-Kernel Function Adaptive Dynamic Programming (GK-ADP) algorithm does not need to preset the value function model which greatly enhances the applicability of ADP method in continuous space. However, when the complexity of the system increases in practice, the scale of sample set will increase which will induce a high computation cost. In order to speed up computation, a CUDA-Based Iterative Segmentary Gaussian-Kernel Function Adaptive Dynamic Programming algorithm( cuISGK-ADP) is presented in this paper. The algorithm uses singular value decomposition to decompose the large-scale matrix and uses CUDA with multi-threaded structure in order to enhance the performance. The comparison result illustrates that the computation burden which hinders the GK-ADP's application is reduced when the cuISGK-ADP algorithm is introduced. The proposed approach enhances the efficiency of the computation to a large extent.
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