An Improved Global and Local Fusion Path-Planning Algorithm for Mobile Robots by Yongliang Shi, Shucheng Huang, Mingxing Li

“…For local path planning, we propose an environment-aware dynamic parameter adjustment strategy, incorporating deviation and avoidance dynamic obstacle evaluation factors, thus addressing issues of local optima and timely avoidance of dynamic obstacles. …”
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Improved YOLOv8n based helmet wearing inspection method by Xinying Chen, Zhisheng Jiao, Yuefan Liu

“…Abstract This paper proposes the YOLOv8n_H method to address issues regarding parameter redundancy, slow inference speed, and suboptimal detection precision in contemporary helmet-wearing target recognition algorithms. …”
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Event-Triggered Adaptive Neural Network Backstepping Sliding Fault-Tolerant Control of Spacecraft Formation Flying With Input Saturation by Guogang Wang, Wankai Yuan, Xin Wang

“…Firstly, sliding mode control combined with backstepping control is used to address saturation issues. Then, neural networks, minimal parameter learning, and adaptive control are integrated to handle dynamic uncertainties and actuator failures. …”
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Nonlinearity modeling for online estimation of industrial cooling fan speed subject to model uncertainties and state-dependent measurement noise by Peng Chao-Chung, Tsai Min-Che, Chen Tsai-Ying

“…To address these issues, this study employs the unscented Kalman filter (UKF) algorithm, incorporating state-dependent noise modeling and mathematical modeling of parameter uncertainties. …”
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Integrated irrigation of water and fertilizer with superior self-correcting fuzzy PID control system. by Wanjun Zhang, Jingsheng Tong, Feng Zhang, Wanliang Zhang, Jingxuan Zhang, Jingyi Zhang, Jingyan Zhang, Honghong Sun, Derek O Northwood, Kristian E Waters, Hao Ma

“…The results demonstrate that the self-correcting fuzzy PID control significantly optimizes key performance metrics: overshoot (reduced by 21.3%), settling time (shortened by 34.7%), and steady-rate error (decreased by 18.9%), outperforming both traditional PID and fuzzy PID methods in concentration and pH regulation. Its parameter self-adaptation capability effectively balances dynamic response and steady-state performance, resolving issues such as overshoot oscillation and lagging regulation in nonlinear dynamics. …”
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ALCS-PP: Adaptive Latency Control Scheme for Packet Pacing in Self-Clocked Congestion Control by Haider Dhia Zubaydi, Ahmed Samir Jagmagji, Sandor Molnar

“…It encounters challenges with static pacing and low latency under fluctuating round-trip time (RTT) and jitter, resulting in ineffective bandwidth utilization. To address these issues, this paper proposes an Adaptive Latency Control Scheme for Packet Pacing (ALCS-PP), a novel congestion control scheme featuring dynamic rate adjustment and adaptive packet pacing. …”
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PINNing cerebral blood flow: analysis of perfusion MRI in infants using physics-informed neural networks by Christoforos Galazis, Christoforos Galazis, Ching-En Chiu, Ching-En Chiu, Tomoki Arichi, Anil A. Bharath, Anil A. Bharath, Marta Varela, Marta Varela

“…However, cerebral blood flow (CBF) estimation in infants using ASL remains challenging due to the complex interplay of network physiology, involving dynamic interactions between cardiac output and cerebral perfusion, as well as issues with parameter uncertainty and data noise. …”
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Model-Free Adaptive Fast Integral Terminal Sliding Mode Control for Permanent Magnet Synchronous Motor with Position Error Constraint by Xingyu Qu, Shuang Zhang, Chengkun Peng

“…In the parameter sensitivity experiments, the response surface methodology was employed to design the tests, revealing the impact of individual parameters and parameter interactions on system performance. …”
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Reinforcement Learning-Based Real-Time Contrasts Control Chart Using an Adaptive Window Size by Kyuchang Chang, Seung Hwan Park

“…By automatically learning an optimal policy, the RL-RTC method eliminates the need for manual parameter tuning and enhances adaptability in dynamic process environments. …”
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Haptic Guidance System for Teleoperation Based on Trajectory Similarity by Hikaru Nagano, Tomoki Nishino, Yuichi Tazaki, Yasuyoshi Yokokohji

“…To address these issues, we propose a novel approach that captures the posture trajectory of the local control interface, statistically generates a reference trajectory, and incorporates forward motion as an adjustable parameter. …”
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YOLOv11-RDTNet: A Lightweight Model for Citrus Pest and Disease Identification Based on an Improved YOLOv11n by Qiufang Dai, Shiyao Liang, Zhen Li, Shilei Lyu, Xiuyun Xue, Shuran Song, Ying Huang, Shaoyu Zhang, Jiaheng Fu

“…Lastly, the lightweight Task Align Dynamic Detection Head (TADDH) replaces the original detection head, significantly reducing the parameter count and improving accuracy in small-object detection. …”
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An Integrated Mechanical Fault Diagnosis Framework Using Improved GOOSE-VMD, RobustICA, and CYCBD by Jingzong Yang, Xuefeng Li

“…First, to mitigate modal aliasing issues caused by empirical parameter dependency in VMD, we fuse a refraction-guided reverse learning mechanism with a dynamic mutation strategy to develop the IGOOSE. …”
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Fin failure tolerant control of agile air vehicle using feedback linearization by Asghar Ashrafifar, Mohsen Fathi Jegarkandi

“…To achieve this, the paper proposes an equivalent aerodynamic model representing the vehicle’s dynamics. The health of each fin is monitored using a nonlinear filter to estimate a parameter. …”
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Research of Thermal Inertia of Thermotransducers for Measuring the Temperature of Gas Flows by Vasyl Fedynets, Ihor Vasylkivskyi

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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. …”
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Global Fixed-Time Fault-Tolerant Control for Tracked Vehicles with Hierarchical Unknown Input Observers by Xihao Yan, Dongjie Wang, Aixiang Ma, Weixiong Zheng, Sihai Zhao

“…First, a kinematic and dynamic model of the TMV is established considering side slip and track slip, and its linear parameter-varying (LPV) model is constructed through parameter-dependent linearization. …”
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Consensus-Based Intelligent Distributed Secondary Control for Multiagent Islanded Microgrid by Ali M. Jasim, Basil H. Jasim, Flah Aymen, Hossam Kotb, Ahmed Althobaiti

“…This combination uses the simplicity of the PI controller mathematical formula and ANN’s ability to deal with parameter variations and nonlinearity. Due to the global nature of the frequency parameter, the active power-sharing compensator is unnecessary. …”
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Prediction Model for Compaction Quality of Earth-Rock Dams Based on IFA-RF Model by Weiwei Lin, Yuling Yan, Pu Xu, Xiao Zhang, Yichuan Zhong

“…To resolve these issues, we present an intelligent evaluation method for the compaction quality of earth-rock dams that explicitly accounts for parameter uncertainty. …”
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TEGKT: tendency-enhanced evolution graph KAN transformer for information popularity prediction by Yanchao Liu, Junpeng Gong, Wenchao Song, Chi Zhang, Pengzhou Zhang

“…To overcome the those issues, we introduce a novel Tendency-Enhanced Evolution Graph KAN Transformer framework ( TEGKT ), which is specifically tailored for information popularity prediction. …”
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Methodology for Determining the Response Time of Thermo Transducers for Measuring the Temperature of Gas Flows by Vasyl Fedynets

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