Design of an improved adaptive sliding mode observer for charge/discharge control in flywheel energy storage systems by Shiyong Xiao, Zhihao Han, Guowei Cai, Zhihui Liu

“…First, a continuous sigmoid function is established as the sliding mode switching function to accelerate system convergence and mitigate chattering. …”
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An Improved Parameter-Adaptive Variational Mode Decomposition Method and Its Application in Fault Diagnosis of Rolling Bearings by Cuixing Li, Yongqiang Liu, Yingying Liao

“…To solve these problems, an improved parameter-adaptive VMD (IPAVMD) method is proposed. A new objective function, the maximum average envelope kurtosis (MAEK), is proposed in this paper. …”
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Towards load adaptive routing based on link critical degree for delay-sensitive traffic in IP networks by Yang YANG, Jia-hai YANG, Hui WANG, Chen-xi LI, Yu-ding WANG

“…Firstly, an optimization objective function has been put forward; and then decomposed into several sub-functions by using convex optimization theory; finally, the optimization objective function and sub-functions were transformed into a simple distributed protocol. …”
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Robust Trajectory-Tracking Control of a Rotorcraft Using Immersion-and-Invariance-Based Adaptive Backstepping Control by Yoo-Seung Choi, Il-Ryeong Lee, Jun-Young An, Moon-Gyeang Cho, Chang-Joo Kim

“…Additionally, the tuning function-based adaptive backstepping controller is designed and used to investigate the outperformance achievable with the proposed method. …”
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An Adaptive Neural Network Fuzzy Sliding Mode Controller for Tracking Control of Deep-Sea Mining Vehicles by Shidong Wang, Zida Shan, Jialuan Xiao, Junjun Cao, He Zhang, Nan Sun

“…The algorithm, named the Adaptive Radial Basis Function Neural Network Fuzzy Sliding Mode Controller (ARFSMC), replaces modeled vehicle dynamics with a radial basis function neural network (RBFNN). …”
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Adaptive fuzzy command filtered control for uncertain fractional order nonlinear systems with full state constraints by Ruixia Liu, Yang Han, Lei Xing, Liyang Sun

“…Abstract This paper investigates the tracking control problem for fractional-order (FO) nonlinear systems with model uncertainties and external disturbances under full-state constraints. An adaptive fuzzy control strategy based on a command filter is proposed, where the asymmetric Barrier Lyapunov Function is adopted to ensure that the states do not violate their constraints, and a fuzzy logic system is used to approximate the unknown nonlinear terms. …”
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Transcriptome and Metabolome Analyses Reveal High-Altitude Adaptation Mechanism of Epididymis Sperm Maturation in Tibetan Sheep by Yijian Li, Yanan Yang, Binyan Yu, Rong Gao, Xinrong Wang

“…The integrated omics analysis suggests that Tibetan sheep adapt to the high-altitude hypoxic environment by regulating cAMP signaling pathway genes like <i>ADCY</i> and <i>PRKACA</i>, as well as metabolites like adenosine and prostaglandin I2, to maintain epididymal function and sperm motility. …”
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Registration of Brain MRI/PET Images Based on Adaptive Combination of Intensity and Gradient Field Mutual Information by Jiangang Liu, Jie Tian

“…Traditional mutual information (MI) function aligns two multimodality images with intensity information, lacking spatial information, so that it usually presents many local maxima that can lead to inaccurate registration. …”
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Human gut microbiota adaptation to high-altitude exposure: longitudinal analysis over acute and prolonged periods by Xianzong Ma, Changwei Duan, Xiaoying Wang, Yurong Tao, Lang Yang, Yongsheng Teng, Yuanming Pan, Mingjie Zhang, Junfeng Xu, Jianqiu Sheng, Xin Wang, Peng Jin

“…Notably, these changes in microbiota persisted even after returning to low altitude, indicating long-term remodeling. Functional analyses revealed substantial changes in metabolic pathways, suggesting microbiota-driven adaptations to energy utilization under high-altitude hypoxic conditions. …”
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The role of androgens and global and tissue-specific androgen receptor expression on body composition, exercise adaptation, and performance by Sabrina Tzivia Barsky, Douglas Ashley Monks

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DHS-CNN: A Defect-Adaptive Hierarchical Structure CNN Model for Detecting Anomalies in Contact Lenses by Sung-Hoon Kim, Seong-Jong Joo, Kwan-Hee Yoo

“…These findings suggest that the defect-adaptive hierarchical structure and customized loss function offer substantial improvements in the vision-based inspection of contact lenses and may enhance AI-driven quality control processes in other manufacturing sectors.…”
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Exploration design for Q-learning-based adaptive linear quadratic optimal regulators under stochastic disturbances by Vina Putri Virgiani, Shiro Masuda

“…Q-learning optimizes the state-action policy by estimating the Q-function iteratively. This study proposes exploration signal design for the bias-free Q-learning algorithm that modifies the recursively defined Q-function by adding a disturbance-influenced term and utilizes an Instrumental Variable (IV) technique to resolve the bias-error issue. …”
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Virtual Reality-Assisted Goalkeeper Training for Upper Limb Rehabilitation in a Safe and Adapted Patient Environment by Vanesa Herrera, Javier Albusac, Eusebio Angulo, Carlos Gonzalez-Morcillo, Ana de Los Reyes-Guzman, David Vallejo

“…The proposed system aims to simplify technology use, featuring a single VR headset integrating body tracking, and functional and spatial-temporal data analysis algorithms, without the need for additional tracking devices. …”
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Analysis of Adaptive Synchronization for Stochastic Neutral-Type Memristive Neural Networks with Mixed Time-Varying Delays by Desheng Hong, Zuoliang Xiong, Cuiping Yang

“…By applying the stochastic differential inclusions theory, Lyapunov functional, and linear matrix inequalities method, we obtain some new adaptive synchronization criteria. …”
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Greedy gradient-free adaptive variational quantum algorithms on a noisy intermediate scale quantum computer by César Feniou, Muhammad Hassan, Baptiste Claudon, Axel Courtat, Olivier Adjoua, Yvon Maday, Jean-Philip Piquemal

“…However, practical implementations on current quantum processing units (QPUs) are challenging due to the noisy evaluation of a polynomially scaling number of observables, undertaken for operator selection and high-dimensional cost function optimization. We introduce an adaptive algorithm using analytic, gradient-free optimization, called Greedy Gradient-free Adaptive VQE (GGA-VQE). …”
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Seismic Random Noise Suppression Using Optimal ANFIS as an Adaptive Self-Tuning Filter and Wavelet Thresholding by K. Geetha, Malaya Kumar Hota

“…These parameters are determined optimally using the Honey badger algorithm with mean square error value as an objective function. Here, OANFIS acts as an adaptive self-tuning filter that extracts the appropriate seismic signal information without any knowledge of the amount of noise in the contaminated signal. …”
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Metagenomics-assembled genomes reveal microbial metabolic adaptation to athalassohaline environment, the case Lake Barkol, China by Maripat Xamxidin, Xuanqi Zhang, Gang Zheng, Can Chen, Min Wu

“…Lake Barkol, a high-altitude inland saline lake, provides a valuable natural setting for investigating microbial community dynamics and adaptation mechanisms under extreme salinity. In this study, we employed high-throughput metagenomic sequencing to characterize the taxonomic composition, metabolic potential, and ecological functions of microbial communities in both water and sediment samples from Lake Barkol. …”
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Research on Feed Forward Adaptive-generalized Model Predictive Control for High-speed Train Automatic Operation by LUO Yuan, YI Jie, BAI Jinlei, ZHANG Zhengfang

“…Simulation results show that, compared with traditional GPC in the absence of the feed forward functionality and PID controller, the proposed feed forward generalized controller demonstrates good cruise control speed tracking accuracy within a ±0.5 km/h range under different line conditions and strong robustness thanks to the adaptive modification to the feed forward generalized predictive control algorithm for better performance in strong disturbance conditions.…”
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A Convex Adaptive Total Variation Model Based on the Gray Level Indicator for Multiplicative Noise Removal by Gang Dong, Zhichang Guo, Boying Wu

“…Using a gray level indicator, we derive a new functional which consists of the adaptive total variation term and the global convex fidelity term. …”
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Mathematical modeling of two-phase compressible fluid filtration based on modified adaptive method of minimum amendments by Alexander I. Sukhinov, Lusine A. Grigoryan, Andrey A. Sukhinov

“…An approximation method - an explicit one for defining the function of water saturation, and an implicit one for the pressure function computation - is selected as the research basis. …”
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