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Showing papers in "Journal of Systems Engineering and Electronics in 2018"


Journal ArticleDOI
TL;DR: In this article, an autonomous maneuver decision system for UAVs in air combat games is presented, which adaptively adjusts the weights of maneuver decision factors, which makes the objective function more reasonable and ensures the superiority situation for UCAVs.

68 citations


Journal ArticleDOI
TL;DR: A neural-network-based adaptive gain scheduling backstepping sliding mode control approach for a class of uncertain strict-feedback nonlinear system is proposed and comparing simulation results indicate that the NNAGS-BSMC decreases the chattering effectively and has better control performance against the BSMC.

58 citations


Journal ArticleDOI
TL;DR: A secure steganography algorithm that hides a bitstream of the secret text into the least significant bits of the approximation coefficients of the integer wavelet transform of grayscale images as well as each component of color images to form stego-images is proposed.

50 citations


Journal ArticleDOI
TL;DR: According to the oversampling imaging characteristics, an infrared small target detection method based on deep learning is proposed, which improves the signal clutter ratio gain and background suppression factor by 3-4 orders of magnitude, and has more powerful target detection performance.

42 citations


Journal ArticleDOI
TL;DR: In this article, an algorithm is proposed to solve the multi-target threat assessment problems, where the target attribute weight is calculated by the intuitionistic fuzzy entropy (IFE) algorithm and the time series weight is gained by the Poisson distribution method based on multi-times data.

37 citations



Journal ArticleDOI
TL;DR: This paper introduces an optimization algorithm, the hummingbirds optimization algorithm (HOA), which is inspired by the foraging process of hummingbirds, and includes two phases: a self- searching phase and a guide-searching phase.

24 citations


Journal ArticleDOI
TL;DR: A multi-type ant system (MTAS) algorithm hybridized with the ant colony system (ACS) and the max-min antSystem (MMAS) algorithms is proposed, and an adaptive pheromone updating strategy is proposed in the MTAS.

22 citations


Journal ArticleDOI
TL;DR: An improved QBFO (IQBFO) algorithm is proposed, which can adaptively make the quantum rotation angle continuously updated and enhance the global search ability and has a good performance in tuning the PID parameters of the fractional-order servo system.

22 citations



Journal ArticleDOI
TL;DR: An ABC variant named hybrid ABC (HABC) algorithm is proposed, which assumes the artificial bees can remember their past successful experiences and further guide the subsequent foraging behavior and the proposed memory mechanism is used to improve the global search efficiency.

Journal ArticleDOI
TL;DR: In this article, a fuzzy C-means clustering algorithm is proposed to cluster the selected air combat sample data and the situation classification of the data is determined by the data correlation analysis in combination with the clustering results and the pilots' description of the air combat process.

Journal ArticleDOI
TL;DR: In this article, an improved MRI segmentation method based on fuzzy c-means (FCM) and Dempster-Shafer evidence theory (DS theory) is proposed.

Journal ArticleDOI
TL;DR: Experimental results show that the proposed fusion framework can not only improve subjective visual effect, but also obtain better objective evaluation criteria than state-of-the-art methods.


Journal ArticleDOI
TL;DR: A microscopic model is proposed to investigate advantages and diffusion forces of CMP through exploration of its diffusion process and mechanism, and results indicate that CMP possesses better resource utilization, user satisfaction, and enterprise utility.


Journal ArticleDOI
TL;DR: This paper first investigates the received signal model in the presence of multiple false targets in all receivers of the multistatic radar, and local-density-based spatial clustering of applications with noise (LDBSCAN) is proposed to discriminate theFTs from the physical targets (PTs) after compensating the FTs time delays.

Journal ArticleDOI
TL;DR: In this paper, a new adaptive optimal guidance law with impact angle and seeker's field-of-view (FOV) angle constraints is proposed, where a changeable impact angle weighting coefficient is introduced and used to modify the guidance law to make it adaptive for all guidance constraints.

Journal ArticleDOI
TL;DR: A cooperative guidance law based on the back-stepping-like approach can make each UAV converge to the trajectory of the virtue leader ultimately, and has the quicker rate of convergence and lower tracking error.

Journal ArticleDOI
TL;DR: A conflict of three players, including an attacker, a defender, and a target with bounded control is discussed based on the differential game theories in which the target and the defender use an optimal pursuit strategy.


Journal ArticleDOI
TL;DR: This paper presents a grey action quantity model, the exponential optimization grey model (EOGM(1,1), based on the exponential type ofgrey action quantity; the model can fully reflect the exponential characteristics of the simulation series with time and has a higher fitting accuracy.

Journal ArticleDOI
TL;DR: The reconnaissance processes of normal stochastic targets are considered and the mathematic models of detection processes are built, and the indicators of coverage performance are used to evaluate the detection probability and expectation of detection time delay.

Journal ArticleDOI
Chathurdara Sri Nadith Pathirage1, Jun Li1, Ling Li1, Hong Hao1, Wanquan Liu1 
TL;DR: The deep learning algorithm that works on a multiple layer neural network model termed as deep autoencoder is proposed to learn the relationship between the modal information and structural stiffness parameters.

Journal ArticleDOI
TL;DR: To predict the remaining useful life (RUL) for a class of nonlinear multi-degradation systems, an iterative estimation method is proposed by using the Kalman filter and the expectation maximization (EM) algorithm.

Journal ArticleDOI
TL;DR: The particle swarm optimization (PSO) algorithm is improved using the proposed weights determination scheme, in which the linear decreasing, the pooling strategy and the cloud theory are combined for weights updating.

Journal ArticleDOI
TL;DR: The incremental observation equation is derived, which can eliminate the unknown observation errors effectively and an incremental Kalman smoother applying the globally optimal weighted measurement fusion algorithm is presented.


Journal ArticleDOI
TL;DR: In this article, a fault tolerant control methodology based adaptive sliding mode (ASM) backstepping is proposed for near space vehicle (NSV) attitude control system under engine faults.