Data Assimilation Analysis of Rate- and State-Dependent 1-DOF Friction Based on a Particle Filter by Kai Xing, Shingo Ozaki

“…To address this issue, we integrated a particle filter with a rate- and state-dependent friction model to enhance the prediction of stick–slip dynamics. …”
Get full text

An Anti-Interference Control Algorithm for Continuum Robot Arm by Hongwei Liu, Qianyi Meng, Junlei Wang

“…To address this issue, this paper proposes an anti-interference control algorithm for continuum manipulators, designed to compensate for parameter uncertainties, external disturbances, and measurement noise. …”
Get full text

A New Robust Adaptive Control Method for Complex Nontriangular Nonlinear Systems by Lingrong Xue, Zhen-Guo Liu

“…By introducing the transformations of a parameter estimation, the studied system is transformed into a new dynamic system. …”
Get full text

Control of Virtual Synchronous Generator for Frequency Regulation Using a Coordinated Self-adaptive Method by Hongwei Fang, Zhiwei Yu

“…The time domain analysis method is used to study the influences of virtual inertia and damping parameter perturbation on the system steady and dynamic performances. …”
Get full text

Action-Curiosity-Based Deep Reinforcement Learning Algorithm for Path Planning in a Nondeterministic Environment by Junxiao Xue, Jinpu Chen, Shiwen Zhang

“…To mitigate the issue of strategy degradation stemming from excessive exploration, we incorporate a cosine annealing strategy that finesses parameter adjustments in real time. …”
Get full text

Robust Simplified Modeling of Microgrid in the Context of Constructing New Power Systems by Daxing WANG, Yan Ning, Jingpei WANG, Yang XU, Jun BI, Mingbiao ZHOU, Peng WANG

“…In regard to this, k-means++ is introduced first to effectively distinguish the typical operation condition of microgrid such that the randomness and time-varying characteristics of the system can be represented. Next, key parameter selection-based parameter identification method is applied to avoid the issue of multiple solutions in parameter identification process. …”
Get full text

AutoVL: Automated streamflow separation for changing catchments and climate impact analysis by Vincent Lyne

“…The separation of streamflow into fastflow and slowflow components has been historically ambiguous, with existing separation methods like the Lyne-Hollick (LH) algorithm facing challenges due to subjective parameter choices. Here, we address this issue by developing the AutoVL algorithm which objectively and automatically partitions streamflow for no parameter input. …”
Get full text

A Regularized Vector Autoregressive Hidden Semi-Markov model, with Application to Multivariate Financial Data by Zekun Xu, Ye Liu

“…To address this issue, an augmented EM algorithm is developed for parameter estimation by using regularized estimators for the state-dependent covariance matrices and autoregression matrices in the M-step. …”
Get full text

Deep reinforcement learning enhanced PID control for hydraulic servo systems in injection molding machines by Xiaoxi Hao, Zengmiao Xin, Weizhuo Huang, Sicheng Wan, Guangfan Qiu, Tianlei Wang, Zhu Wang

“…In particular, this work innovatively integrates the DDPG algorithm with an auxiliary servo valve structure for PID parameter optimization and dynamic performance enhancement, offering new ideas and technical pathways for adaptive control of complex hydraulic systems.…”
Get full text

Trajectory Tracking Control Method for AUV Planar MotionBased on Three-Level Hierarchical Speed Regulation by Haonan SUN, Lei WANG

“…In this study, the distance parameter at the end of the track was introduced into the control decision, and the dynamic allocation of the speed was achieved through a three-level hierarchical control strategy. …”
Get full text

Damping Identification with Acceleration Measurements Based on Sensitivity Enhancement Method by Xusheng Wang, Kun Liu, Hongbo Liu, Yuhan He

“…The damping is important for forward and inverse structural dynamic analysis, and damping identification has become a hot issue in structural health monitoring recently. …”
Get full text

A blade-pitch controller for a large wind turbine generator in the presence of time-varying delay and polytopic uncertainty by Alireza Rokhsari, Roozbeh Abolpour

Get full text

Adaptive backstepping control for electro-hydraulic servo system in extension sleeve press-fitting process of bearing pressing machine by Chen Hongsheng

“…Firstly, a mathematical model of the ESSVSC is established which takes into account external disturbances and unmodeled dynamic factors. Secondly, the adaptive backstepping controller is designed by using the backstepping algorithm, and the control law and adaptive parameter estimation law are given. …”
Get full text

An integrated approach to uncertainty and global sensitivity analysis in penstock structural modeling by Manal Haddouch, Imane Hajjout, El Mostapha Boudi

“…As model interactions intensify, predictability and comprehensibility decrease, complicating the evaluation of model accuracy and alignment with operational performance metrics and safety standards. This issue is particularly pronounced in dynamic modeling, where knowledge gaps hinder straightforward validation via observational data. …”
Get full text

A high robust control scheme of grid‐side converter for DFIG system by Shuqi Shi, Zongze Liu, Long Ren, Hongwei Tang, Dongran Song

“…Abstract In this study, a high robust control—second‐order sliding‐mode control (SOSMC) scheme is proposed to improve the DC‐link voltage dynamic performance of the grid‐side converter (GSC) for the doubly‐fed induction generator (DFIG) system under the wind turbine power disturbance and DC‐link capacitance parameter disturbance. …”
Get full text

Reconstructing Fractional Holographic Dark Energy with scalar and gauge fields by Ayush Bidlan, Paulo Moniz, Oem Trivedi

“…Conclusively, our results show that the modifications brought by the fractional features satisfactorily enable late-time cosmic acceleration, together with avoiding quantum instabilities by preventing the EoS from entering the phantom divide i.e., $$\omega (z)\rightarrow -\infty $$ ω ( z ) → - ∞ , which is a common issue in standard scalar field models without fractional dynamics (e.g., K-essence field). …”
Get full text

A two-stage HDR reconstruction pipeline for extreme dark-light RGGB images by Yiyao Huang, Xiaobao Zhu, Fenglian Yuan, Jing Shi, U. Kintak, Jingfei Fu, Yiran Peng, Chenheng Deng

“…The existing methods mainly employ U-Net variants, multi-stage camera parameter simulation, or image parameter processing to address this issue. …”
Get full text

Bridging the Gap Between Computational Efficiency and Segmentation Fidelity in Object-Based Image Analysis by Fernanda Pereira Leite Aguiar, Irenilza de Alencar Nääs, Marcelo Tsuguio Okano

“…A critical issue in image analysis for analyzing animal behavior is accurate object detection and tracking in dynamic and complex environments. …”
Get full text

An ensemble learning method with GAN-based sampling and consistency check for anomaly detection of imbalanced data streams with concept drift. by Yansong Liu, Shuang Wang, He Sui, Li Zhu

“…Only a few approaches tackle the joint issue of imbalance and concept drift. To overcome this joint issue, we propose an ensemble learning method with generative adversarial network-based sampling and consistency check (EGSCC) in this paper. …”
Get full text

YOLO-GCOF: A Lightweight Low-Altitude Drone Detection Model by Wanjun Yu, Kongxin Mo

“…The Detect-Olive Group Convolution Head (Detect-OGCH) module, a lightweight parameter-sharing design, is integrated into the head layer to significantly reduce the model’s GFLOPs and parameter count while maintaining detection performance. …”
Get full text