Haiyan Li

An MC (minor component) is usually referred to as the noise part of a time-varying signal. Extracting multiple MCs from an input signal is very useful in many practical applications. Compared with single MC estimating algorithms and subspace tracking algorithms, multiple MC extraction algorithms have a wider range of applications and greater research significance. To address the existing issues with multiple MC extraction algorithms, such as the need to estimate parameters in advance and with numerous constraints, this paper proposes a novel multiple MC extraction algorithm by adding a diagonal weighted matrix to the Möller algorithm. The proposed algorithm’s fixed points are analyzed using ODE (ordinary differential equation) methods, and it is demonstrated that the algorithm achieves stable convergence only when the weight matrix converges to the desired MCs of the signal. The simulation results illustrate the effectiveness of the proposed algorithm.

To tackle the degradation of sealing performance in nitrile butadiene rubber (NBR) seals due to material aging during long-term service, this study integrates experimental and molecular simulation methods to elucidate the aging mechanism. Experimental results reveal that the contents of C=C and C=O functional groups significantly decrease during aging, accompanied by enhanced hydrophobicity and increased crosslink density of NBR, indicating that crosslinking reactions dominate the aging process with the participation of C=C and C=O groups. Quantum mechanics (QM) and molecular dynamics (MD) simulations further demonstrate that α-H, C=C, and C≡N groups are preferentially oxidized due to their low bond energies. The oxidation of NBR generates unstable epoxy intermediates, which undergo chain scission to form ketones, aldehydes, and ultimately crosslinked structures. Using a multi-dimensional evaluation system based on bond dissociation energy (BDE), solubility parameter (Δδ), and migration coefficient (MSD), four antioxidants (4010NA, 4010, MC, and BHT) were screened. BHT emerges as the optimal choice, exhibiting superior free radical scavenging ability (BDE = 346.3 kJ/mol), good matrix compatibility (Δδ = 2.95), and anti-migration properties. The MD-based screening method established herein provides a theoretical basis for designing antioxidant systems in high-performance rubber materials, facilitating the development of advanced rubber products.

For the guidance problem of trajectory tracking in multiple unmanned surface vehicles (USVs), a trajectory tracking guidance method with collision avoidance based on a novel guiding vector field is proposed. Firstly, within the framework of the virtual leader–follower method for formation control, a tracking error model for followers is developed based on the motion model of USVs. Secondly, considering the limitations of conventional trajectory tracking guidance methods in addressing various initial error conditions, a novel guiding vector field is developed for the design of the heading guidance law to enhance tracking performance. Then, a multi-USV collision avoidance strategy is proposed for formation navigation safety. The trigger conditions, actions and release conditions for collision avoidance are established in this strategy. USVs could avoid collision in time by following the commands outlined in the strategy, especially in complex situations where multiple USVs are simultaneously at risk of colliding with each other. And the theoretical proof is completed. Furthermore, the heading and velocity guidance laws are designed by combining the guidance vector field and the collision avoidance strategy. It is demonstrated that the tracking errors of the system are uniformly bounded based on Lyapunov stability theory. Finally, the effectiveness of the method is verified through simulation.

In this paper, a variable-structure multimodel (VSMM) filtering algorithm based on the long short-term memory (LSTM) regression-deep network (L-DQN) is proposed to accurately track strong maneuvering targets. The algorithm can map the selection of the model set to the selection of the action label and realize the purpose of a deep reinforcement-learning agent to replace the model switching in the traditional VSMM algorithm by reasonably designing a reward function, state space, and network structure. At the same time, the algorithm introduces a LSTM algorithm, which can compensate the error of tracking results based on model history information. The simulation results show that compared with the traditional VSMM algorithm, the proposed algorithm can quickly capture the maneuvering of the target, the response time is short, the calculation accuracy is significantly improved, and the range of adaptation is wider. Precise tracking of maneuvering targets was achieved.

This paper analyzes the current problems in the teaching of practice courses for undergraduate majors in military academies, and on the basis of fully understanding the innovative characteristics of the reform of practice courses in military academies, based on the guidance of post ability cultivation, constructs a teaching mode that meets the needs of military talents in the new era. This has good reference value for the reform and innovation of practice courses in undergraduate majors in military academies.

The dynamic response of complex equipment under mixed-mode loading is significant for structural design. Bolted joints are the primary connection mode of subsystem assembly, and the degradation of bolted joints may reduce the safety and reliability of the equipment. The Iwan model is widely used to describe the degradation of bolted joints, which has been continuously revised and experimentally verified. The classic Iwan model is a static model that lacks predictive ability. The latest dynamic Iwan model can predict the softening process and reveal the physical mechanism of degradation. However, the function of dynamic pressure distribution needs to be determined for the model solution. We analyzed the contact boundary and pressure distribution under mixed-mode loading with the finite element method (FEM) and proposed the dynamic functions. Secondly, we put forward two correction methods to compensate for the loss of preload caused by simplification and to achieve consistency between the pressure distribution function and the contact boundary function. Finally, the influence of discrete order on the correction of pressure distribution was analyzed. The results show that the constraint method is more suitable for the modification of the pressure distribution. The research results can be applied to the solution of the dynamic Iwan model.

In order to study the influencing factors of friction coefficient in an M-B model, based on the basic model of fractal theory, the distribution function and probability distribution density of the micro-convex body truncation area are derived by using mathematical and statistical means, and a new model of critical truncation area and friction coefficient in fractal surface contact process are proposed. Considering the differences between the actual contact area and the truncated area during plastic deformation of the micro-convex body, a correction factor is introduced. Focusing on the mechanism of the elastic-plastic transition phase, and finally a friction coefficient model based on the fractal dimension, the normal force and correction factor is derived. Finally, the friction coefficient of fractal surface is simulated and verified by taking nickel as an example, and it is proved that the new model is correct in predicting the change trend of friction coefficient in the M-B model.

An antisaturation backstepping control scheme based on constrained command filter for hypersonic flight vehicle (HFV) is proposed with the consideration of angle of attack (AOA) constraint and actuator constraints of amplitude and rate. Firstly, the HFV system model is divided into velocity subsystem and height subsystem. Secondly, to handle AOA constraint, a constrained command filter is constructed to limit the amplitude of the AOA command and retain its differentiability. And the constraint range is set in advance via a prescribed performance method to guarantee that the tracking error of the AOA meets the constraint conditions and transient and steady performance. Thirdly, the proposed constrained command filter is combined with the auxiliary system for actuator constraints, which ensures that the control input meets the limited requirements of amplitude and rate, and the system is stable. In addition, the tracking errors of the system are proved to be ultimately uniformly bounded based on the Lyapunov stability theory. Finally, the effectiveness of the proposed method is verified by simulation.

The transient and steady state with prescribed performance should be taken into consideration in the control methods for hypersonic vehicles. On the basis of robust backstepping idea, we propose a controller design method with prescribed performance under the strong nonlinearity and input constraint existing in the design model. The auxiliary subsystems are constructed to deal with the input constraint problems, and we design integral type switching surfaces as well as compensation terms in order to improve the robustness of the whole system. The whole closed-loop system is stable in the sense of Lyapunov and all error states of the inner-loop longitudinal dynamics of hypersonic vehicles satisfy the prescribed transient and steady performance. The given simulation results demonstrate the effectiveness of the proposed control method.

In this paper, we present an algorithm for synthesizing the trajectory of falling leaf which can be used to produce stylized and expressive falling leaves animation. In this algorithm, the movement of falling leaves is divided into the macro-and micro-movement at two levels. The macro-movement can describe the falling leaves' movement trend and the micro-movement is in charge of expressing the movement details. For most animators, it is relatively easier to describe the falling leaves movement trend. However, if the animator hopes demonstrate the falling movement with artistic effect, it would take him an amount of time to enrich the movement details. This algorithm allows the animator draft manually the movement trend of falling leaf according to the development and scene required in the story firstly, then extracts the movement details from the examples in order to synthesize a new movement trajectory. This movement trajectory will not only suit for the plot, but also have some similar movement details with the classic traditional animations. This method can realize the reuse of movement trajectory and style from classical animations. Furthermore, it improve the efficiency of production to a certain extend.