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On-Demand Photoactivation of DNA-Based Motor Motion.
ACS Nano
January 2025
Department of Chemistry, Emory University, Atlanta, Georgia 30322, United States.
A major challenge in the field of synthetic motors relates to mimicking the precise, motion of biological motor proteins, which mediates processes such as cargo transport, cell locomotion, and cell division. To address this challenge, we developed a system to control the motion of DNA-based synthetic motors using light. DNA motors are composed of a central chassis particle modified with DNA "legs" that hybridize to RNA "fuel", and move upon enzymatic consumption of RNA.
View Article and Find Full Text PDFImproved GOA-based fuzzy PI speed control of PMSM with predictive current regulation.
PLoS One
January 2025
Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, Liaoning, China.
To address the susceptibility of conventional vector control systems for permanent magnet synchronous motors (PMSMs) to motor parameter variations and load disturbances, a novel control method combining an improved Grasshopper Optimization Algorithm (GOA) with a variable universe fuzzy Proportional-Integral (PI) controller is proposed, building upon standard fuzzy PI control. First, the diversity of the population and the global exploration capability of the algorithm are enhanced through the integration of the Cauchy mutation strategy and uniform distribution strategy. Subsequently, the fusion of Cauchy mutation and opposition-based learning, along with modifications to the optimal position, further improves the algorithm's ability to escape local optima.
View Article and Find Full Text PDFDesign, modeling, and control of coaxial integrated macro-micro composite actuator with high-precision and long-stroke.
Rev Sci Instrum
January 2025
School of Mechatronics Engineering, Anhui University of Science and Technology, Huainan 232001, China.
This paper presents a coaxial integrated macro-micro composite actuator. The macro-actuator of the macro-micro composite actuator is similar to a moving coil type voice coil motor, and a giant magnetostrictive actuator is installed coaxially inside it as a micro-actuator. In this work, kinetic models are established for both the macro-actuator and micro-actuator, and based on the models, an automatic disturbance rejection controller is adopted to control the macro-actuator, and a fuzzy sliding mode controller is adopted for the micro-actuator.
View Article and Find Full Text PDFIs this scenery worth exploring? Insight into the visual encoding of navigating ants.
J Exp Biol
January 2025
Centre de Recherches sur la Cognition Animale, CNRS, Université Paul Sabatier, Toulouse 31062 cedex 09, France.
Solitary foraging insects like desert ants rely heavily on vision for navigation. While ants can learn visual scenes, it is unclear what cues they use to decide if a scene is worth exploring at the first place. To investigate this, we recorded the motor behavior of Cataglyphis velox ants navigating in a virtual reality set-up (VR) and measured their lateral oscillations in response to various unfamiliar visual scenes under both closed-loop and open-loop conditions.
View Article and Find Full Text PDFA spiking neural network for active efficient coding.
Front Robot AI
January 2025
Life- and Neurosciences, Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany.
Biological vision systems simultaneously learn to efficiently encode their visual inputs and to control the movements of their eyes based on the visual input they sample. This autonomous joint learning of visual representations and actions has previously been modeled in the Active Efficient Coding (AEC) framework and implemented using traditional frame-based cameras. However, modern event-based cameras are inspired by the retina and offer advantages in terms of acquisition rate, dynamic range, and power consumption.
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