A new method of high-speed object detection using planar capacitive sensor was presented. The planar capacitive consists of two electrodes. A sine signal was applied on one electrode to form a quasi-electrostatic fiel...
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A new method of high-speed object detection using planar capacitive sensor was presented. The planar capacitive consists of two electrodes. A sine signal was applied on one electrode to form a quasi-electrostatic field and another electrode was use to detect the object signal. The voltage of the detecting electrode is changed when an object approached to the planar capacitive. The detection model of the planar capacitive sensor was established. The relationship between the rendezvous distance and the voltage variation was deduced. The increase of the electrode diameter and the decrease of the electrodes space contributed to the improvement of the capacitive sensor's sensitivity. The experimental results showed that the planar capacitive sensor could achieve short range detection for high-speed object.
This paper focuses on the problem of designing a 2L, gain-scheduling state-feedback guidance law with acceleration saturation based on linear matrix inequality(LMI) approach. The planar target-missile engagement is de...
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This paper focuses on the problem of designing a 2L, gain-scheduling state-feedback guidance law with acceleration saturation based on linear matrix inequality(LMI) approach. The planar target-missile engagement is described in a polar coordinate system and the target acceleration is viewed as unpredictable disturbance. Saturated state-feedback is placed into the convex hull of a group of linear feedbacks. Furthermore,2L gain guidance problem is formulated and solved as an optimization problem with parameter-dependent LMI constraints which are then converted into a finite number of LMIs to facilitate the computation. Finally, simulation results demonstrate that the proposed guidance law copes with acceleration saturation effectively and obtains excellent guidance performance in terms of miss distance.
Least squares support vector machine (LS-SVM) has been successfully applied in many classification and regression tasks. The main drawback of the LS-SVM algorithm is the lack of sparseness. Combing the primal least sq...
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ISBN:
(纸本)9781467391054
Least squares support vector machine (LS-SVM) has been successfully applied in many classification and regression tasks. The main drawback of the LS-SVM algorithm is the lack of sparseness. Combing the primal least squares twin support vector machine (LS-TSVM) and the sparse LS-SVM with L_0-norm minimization, a new sparse least squares support vector regression algorithm with L_0-norm in primal space(L_0-PLSSVR) is proposed in this paper. Experiments on the artificial dataset illustrate that the novel L_0-PLSSVR algorithm achieves better sparseness and generalization performance than the SVM and LS-SVM algorithm.
According to the characters of Anti-torpedo Torpedo Weapon System (ATTWS), the effectiveness evaluation system of ATTWS is established, and then a method based on the cloud model is proposed to achieve the effectivene...
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When the wavelet packet is used to extract signal, the result is greatly affected by the coefficient quantization threshold. It is difficult for the threshold to reflect the current state of the signal accurately, whi...
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ISBN:
(纸本)9781467391054
When the wavelet packet is used to extract signal, the result is greatly affected by the coefficient quantization threshold. It is difficult for the threshold to reflect the current state of the signal accurately, which leads to the failure of signal extraction. A novel method of extracting signal based on fuzzy threshold for wavelet packet is proposed in this paper. The wavelet packet decomposition coefficient is quantified by fuzzy threshold method. The concept of the maximum value of noise to signal ratio is given to characterize the signal's strength compared to the noise in the simulation experiment. The frequency distribution probability is computed. The maximum value of noise to signal ratio and the frequency distribution probability are used as fuzzy input. To make the computing of fuzzy threshold conveniently, the fuzzy output is set by fixed value. The simulation results show that the method can meet the needs of different frequency signals, compared to conventional filtering and matched filtering, the novel method can inhibit the influence of the noise on the signal effectively, enhance the signal extraction ability and improve the detection distance.
In order to solve the problem that there is no agent-based modeling method for a torpedo, firstly, the formalized description for an agent-based torpedo is proposed, and as well, all the elements in it are particularl...
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To detect week signal of underwater magnetic fields, we designed a negentropy maximization blind source separation algorithm based on the stochastic gradient descent algorithm by bring in a penalty factor. The simulat...
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For the disadvantages in typical cloud computing task scheduling strategies, a strategy based on multi fitness particle swarm optimization is proposed. In this strategy, task completion time span, operation cost and r...
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For the disadvantages in typical cloud computing task scheduling strategies, a strategy based on multi fitness particle swarm optimization is proposed. In this strategy, task completion time span, operation cost and resource load equilibrium are considered, and particle encoding mode, multi fitness functions and particle updating formula are designed. The result of a simulation experiment demonstrates that this strategy is feasible and effective, and has certain exploratory significance for the cloud computing task scheduling research.
According to the disadvantages of traditional mechanical gyro inertial measurement unit('IMU') for steering system not being available for missile attitude control, a concept based on laser gyro IMU is propose...
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According to the disadvantages of traditional mechanical gyro inertial measurement unit('IMU') for steering system not being available for missile attitude control, a concept based on laser gyro IMU is proposed to realize navigation & positioning and attitude control. The concept will save three single-axis rate gyros compared with traditional missile attitude control system, and is available both for strapdown and platform inertial navigation systems. Firstly, this article analyzes the selection requirements of sensitive device for missile attitude control system, and then analyzes the feasibility of missile attitude control based on laser gyro theoretically, on this basis, from four aspects of error characteristics, anti-vibration characteristics, temperature characteristics and dynamic characteristics, validate the feasibility of the concept practically. Secondly according to the strict requirements of dynamic characteristics on attitude control system, a special design is made for gyro signal filtering used for attitude control. By changing the traditional high order FIR filter to adaptive filter and low order FIR filter, laser gyro's signal phase delay is reduced. The delay time of theoretical design is 1.5 ms. Lastly, this design is validated through an angle vibration test, and test curve indicates that the dynamic characteristics of laser gyro completely meets the requirements of the attitude control system, and the maximum delay time is 1.6144 ms, which satisfies with the attitude update rate of 2 ms per frame. This concept can simplify the missile guidance system design, at the same time, it does not reduce missile guidance accuracy, and also provides reference for the broadening of the application of laser gyro.
The surface temperature distribution of stratified sea water is different from the surroundings disturbed by the propeller and it can express a particular infrared character. The surface temperature distribution distu...
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