Results 111 to 120 of about 230,401 (283)
Optimal Control and Spatial Heterogeneity: Pattern Formation in Economic-Ecological Models [PDF]
This paper extends Turing analysis to standard recursive optimal control frameworks in economics and applies it to dynamic bioeconomic problems where the interaction of coupled economic and ecological dynamics under optimal control over space creates (or
Anastasios Xepapadeas, William Brock
core
Turnpike Properties for Mean-Field Linear-Quadratic Optimal Control Problems
26 ...
Jingrui Sun, Jiongmin Yong
openaire +2 more sources
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka +2 more
wiley +1 more source
During lengthy minimally invasive surgeries, fatigue can cause surgeon tremor and poor endoscopic coordination. This study proposes a robot‐assisted endoscopic adjustment system. It employs a lightweight instrument detection model and a hierarchical multiconstraint controller for visual servoing.
Zijie Yang +5 more
wiley +1 more source
A Fully Soft Sensing Suit With Optimal Sensor Placement for Real‐Time Motion Tracking
A fully soft, skin‐conformable sensing suit integrating stretchable sensors, liquid metal wiring, and soft electrodes was developed using direct ink writing, with sensor placement optimized through an automated algorithmic pipeline. This system enables accurate and unobtrusive real‐time motion tracking, providing a scalable, material‐based solution to ...
Jinhyeok Oh, Joonbum Bae
wiley +1 more source
This minireview highlights recent advances in catalyst development and mechanistic strategies that enable photochemical and photocatalytic reactivity under 700–1000 nm NIR light, emphasizing how long‐wavelength excitation expands opportunities in both synthetic chemistry and biology.
Santosh K. Pagire +3 more
wiley +2 more sources
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Sketch for chemical Na bilayer (a) aggregation to higher aggregates (b), resulting in loss of space charge zones. The electrons compensating for the Na+ are partly in the space charge layers and partly in‐between the Na‐layers. ABSTRACT The difficult intercalation of sodium (Na) into graphite is studied by systematic and long‐time investigations (of up
Chuanhai Gan +7 more
wiley +2 more sources
Discrete ILQG method based on high-order exponential Runge–Kutta discretization
In this study, we employ the iterative Linear Quadratic Gaussian (ILQG) method, discretized based on the high-order exponential Runge–Kutta methods, to numerically solve stochastic optimal control problems.
Yujie Yun, Tieqiang Gang, Lijie Chen
doaj +1 more source
: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu +9 more
wiley +1 more source

