Results 161 to 170 of about 3,332,379 (290)
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Auditory representations of speech sounds in a neural model: The role of peripheral processing
Damper, R.I.
core +1 more source
Vibration suppression of scaled-down towers in offshore wind power based on pendulum tuned particle damper. [PDF]
Xiao W, Xie Z, Yao W, Mo F, Cai Z.
europepmc +1 more source
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
A vibration control method for chatter mitigation in milling process based on sliding mode control and reinforcement learning. [PDF]
Paul S.
europepmc +1 more source
Interpretable Short‐Term Electric Load Forecasting
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola +6 more
wiley +1 more source
Multi-parameter pendulum tuned particle damper for vibration suppression in offshore wind turbine towers. [PDF]
Xiao W, Xie Z, Yao W, Mo F, Cai Z.
europepmc +1 more source
Inspired by the Mexican jumping bean, this study presents a centimeter‐scale, electronics‐free robot that merges principles from both the animal and plant kingdoms. A thermo‐responsive actuator mimicking larval motion, enclosed within a uniquely shaped plant‐seed‐inspired shell, generates jumping, rolling, flipping, sliding, and climbing through ...
Ragesh Chellattoan +3 more
wiley +1 more source
Mechanical performance simulation and application of assembled self-centring shear lead damper. [PDF]
Liu H +5 more
europepmc +1 more source
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou +5 more
wiley +1 more source

