Aiming at the problems existing in the fast charging of electric vehicles, the charging and discharging characteristics of lithium-ion batteries are well studied. And an optimized charging protocol are proposed. The maximum allowable charging current rates of positive and negative electrodes have be...

In order to solve the task assignment problem of multiple heterogeneous autonomous underwater vehicle (AUV), a distributed robust auction algorithm is proposed. First, a heterogeneous multi-AUV task assignment distributed auction model is established, including the task assignment system (auctioneer...

Aviation multi-box container loading is an important link to realize fast, efficient and safe air cargo transportation. Aimed at the multi-box container loading optimization problem of multiple cargoes and container types under realistic constraints, a mathematical optimization model is built and a ...

With regard to the problem of parameter estimation, the combined estimation functions method is used to carry out statistical research on the parameter of autoregressive model with time-varying variance. The research status of the autoregressive model with time-varying variance and the combined esti...

In the past, when the aerostat hovering or flight control was designed, wind was used as an interference item or resistance, and the propeller was required to overcome the wind resistance. The energy carried by the aerostat is limited, so there is a problem of insufficient energy in the design of th...

Carrier-deck operation scheduling is a key technology to improve the combat effectiveness of aircraft carriers, and the optimization scheduling problem of complex constraints with time, space and resource constraints has been proved to be NP-hard. We study the optimization problem of carrier-based a...

Runtime behavior model construction is a component of software runtime model construction oriented to reliability prediction. It provides runtime component-to-component dynamic interaction relationship and state transition probability information for software reliability prediction. Based on Java de...

Aimed at the problems of incompleteness and singularization of feature construction in the existing Android malware family classification methods, a malicious APP family classification method based on multi-view features regularization and convolutional neural network (CNN) is proposed. We combine t...

An improved greedy strategy planning algorithm for continuous robot sorting is proposed for the problem that the efficiency is low when traditional sequential sorting algorithm is applied to sort dynamically materials with Cartesian robot. Kinematic model of the Cartesian robot was established to en...

In order to improve the cost prediction accuracy of large and complex equipment such as aircraft and airplanes, based on the principle of similar information priority and entropy theory, the selection of similar equipment is regarded as a process of information fusion, and distance entropy and grey ...

Mahalanobis distance discriminant method is an effective multivariate statistical analysis method based on the Mahalanobis distance. An important feature of the Mahalanobis distance is its introduction of the inverse of covariance matrix, which avoids the disturbance to the distance measurement from...

The buckling unstability and post-buckling bearing capacity of plain woven composite beam webs under shear load were investigated through experiments and finite element method in this paper. Based on characteristics of the experimental strain results and numerical buckling mode of the finite element...

In order to solve the problem that it is difficult to design transient multivariable control law for turbofan engines, a method of extracting linear model at quasi steady working point of transient acceleration and deceleration line based on power import and extraction is proposed. Based on this, a ...

To handle the problem that the image matrix completion algorithm based on low rank prior cannot effectively deal with the structural missing image inpainting, a matrix completion model using double prior on the observation matrix was established. The sparse prior was integrated with low rank prior, ...

In order to solve the problem of inequity of individual cost in conflict resolution of low-altitude UAV, a multi-aircraft conflict resolution algorithm based on the concept of "nucleolus solution" in cooperative game is proposed. According to the characteristics of low-altitude multi-aircraft confli...

An improved model based on the Yolov3-Tiny algorithm is proposed for object detection with high miss and false detection rates of small target objects. The k-means clustering method is improved by adding 3×3 and 1×1 convolutional pooling layers, upsampling the output of the 9th convolutional layer, ...

To address the problem of insufficient expression of pedestrian characteristics, we propose a pedestrian re-identification method based on channel attention mechanism. The channel attention mechanism named SE module is embedded in the backbone network ResNet50 to weight and strengthen the key featur...

Aiming at the problem of fast-speed and high risk of lane changing behavior on expressway, we focus on the ineviteable, freguent and serve mandatory lane-changing behaviors to improve the lane-changing model based on gated recurrent unit (GRU), and predict the decision-making behaviors of mandatony ...

To solve the problem of dodging the defense missile group and hitting the target, a differential game guidance law which can be applied under the condition of incomplete enemy information is proposed. The linearized model of multi-vehicle engagement was established and the order of the model was red...

An intelligent 2D deformation decision method based on deep deterministic policy gradient (DDPG) algorithm is proposed for the autonomous deformation decision making of morphing aircraft. The vehicle that can change at the same time the span length and sweepback is taken as the research object, DATC...

Aerodynamic parameter uncertainties and actuator failures in missile flight will severely affect the stability and operation of the flight system. Therefore, we investigate an incremental adaptive passive fault tolerant control method to ensure safe control in missile flight as well as effectiveness...