Results 91 to 100 of about 9,422 (265)

Mechanisms and impacts of future plant invasions: research agendas and management needs under disruptive social‐ecological change scenarios

Oikos, EarlyView.
No‐analogue futures are characteristic of the Anthropocene, but how global change, and societies' responses, will affect plant invasions remains unclear. Conducting research now to address future needs is crucial for guiding invasion management and policy.
Jennifer L. Bufford, Angela J. Brandt, Rowan Sprague, Christopher E. Buddenhagen, Richard P. Duncan, Nichola Harcourt, Philip E. Hulme, Hao Ran Lai, Kate G. McAlpine, Chris McGrannachan, Fiona J. Thomson, Vincent van Uitregt, Duane A. Peltzer   +12 more
wiley   +1 more source

A novel in-situ steering control for distributed drive vehicles based on active disturbance rejection control

Automatika
In complex and dynamic traffic environments, vehicle steering performance is critical for safety and maneuverability. To improve the poor turning capability of traditional Ackermann-steering off-road vehicles, this study utilizes the independent torque ...
Luran Chen, Susu Liu, Dejun Yin
doaj   +1 more source

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

Polymer Composites, EarlyView.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci, Denizhan Yavas, Alaeddin Burak Irez   +2 more
wiley   +1 more source

Distributed Co-Simulation of Reinforcement Learning Optimized Fuzzy PID Control of a 10-MW Wind Turbine Yaw System

Energies
To address the limited adaptability and tuning efficiency of conventional yaw controllers under turbulent wind conditions, this paper investigates a reinforcement learning (RL)–optimized fuzzy PID control scheme for offshore wind turbine yaw systems.
Yiyan Huang, Linli Li, Yaping Zou, Kai Luan, Zesen Gao, Qifei Jian   +5 more
doaj   +1 more source

Design and Development of a Modular Ballistic Pendulum for High‐Impulse Measurement in Contact and Near‐Field Explosive Loading

Propellants, Explosives, Pyrotechnics, EarlyView.
ABSTRACT Measuring impulse from explosive charges in contact and near‐field configurations presents practical challenges due to wide variation in impulse magnitude. Ballistic pendula are widely used for impulse measurement, but many existing designs are limited to narrow operating envelopes or are poorly suited to repeated contact testing and tamped ...
R. Alford, R. Hazael, R. Critchley, L. Humphreys   +3 more
wiley   +1 more source

Direct Measurement of Explosive Impulse From Contact to the Ultra‐Near Field

Propellants, Explosives, Pyrotechnics, EarlyView.
ABSTRACT Measurement of impulse from explosive charges in contact and ultra‐near‐field regimes remains poorly characterised due to the short duration of loading, high strain rates, and the difficulty of obtaining direct momentum‐based measurements.
R. Alford, R. Hazael, R. Critchley, L. Humphreys   +3 more
wiley   +1 more source

Sliding Mode Control in Aerospace Applications: A Survey

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Sliding mode control (SMC) enjoys robustness to matched and unmatched (in the case of minimum phase input‐output dynamics) bounded perturbations, and finite time convergence. Second‐order and higher‐order sliding mode control systems (2‐SMC/HOSMC) retain all the advantages of sliding mode control, but in addition can be applied to systems of ...
Yuri Shtessel, Christopher Edwards
wiley   +1 more source

Nonlinear Receding‐Horizon Differential Game for Drone Racing Along a Three‐Dimensional Path

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Drone racing requires high‐speed navigation through three‐dimensional paths, posing significant challenges in control engineering. Existing control methods lack a feedback control framework that simultaneously addresses nonlinear drone dynamics and multi‐agent competitive interactions, such as overtaking or obstructing opponents.
Kijin Sung, Kenta Hoshino, Akihiko Honda, Takeya Shima, Toshiyuki Ohtsuka   +4 more
wiley   +1 more source

Fuzzy Rule-Based Optimal Direct Yaw Moment Allocation for Stability Control of Four-Wheel Steering Mining Trucks

Applied Sciences
To address the poor trajectory tracking of mining trucks in narrow, high-curvature paths, this study explores the impact of four-wheel steering (4WS) and direct yaw moment control (DYC) on vehicle stability.
Feiyu Wang, Jiadian Liu, Jiaqi Li, Xinxin Zhao   +3 more
doaj   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi, Alberto Topini, Alessandro Bucci, Alessandro Ridolfi   +3 more
wiley   +1 more source