Results 161 to 170 of about 226,681 (319)
Controllability test for nonlinear datatic systems
Controllability is a fundamental property of control systems, serving as the prerequisite for controller design. While controllability test is well established in modelic (i.e., model-driven) control systems, extending it to datatic (i.e., data-driven) control systems is still a challenging task due to the absence of system models.
Yujie Yang +3 more
openaire +3 more sources
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min +13 more
wiley +1 more source
Constrained Output Path-Following for Nonlinear Systems Using Predictive Control
We address the problem of steering the output of a nonlinear system along a given parametrized reference path, taking input and state constraints into account.
Findeisen, Rolf, Faulwasser, Timm
core +1 more source
Analysis of Nonlinear Control Systems [PDF]
D. Graham, Duane McRuer, D. C. Karnopp
openaire +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Nonlinear control of coaxial double rotor magnetic gear based on high gain observer in wind turbine
This paper proposes a nonlinear control law with a dynamic controller based on high gain observer (HGO) for a co‐axial double rotor magnetic gear (CADRMG) based on Halbach array used in wind turbines.
Hamideh Habibi +2 more
doaj +1 more source
Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview
Contraction theory is an analytical tool to study differential dynamics of a non-autonomous (i.e., time-varying) nonlinear system under a contraction metric defined with a uniformly positive definite matrix, the existence of which results in a necessary ...
Chung, Soon-Jo +2 more
core +1 more source
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies
The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley +1 more source
Large Transverse Thermoelectric Effect in Weyl Semimetal TaIrTe4 Engineered for Photodetection
This experimental work shows that the anomalous scanning photocurrent response patterns of the Weyl semimetal TaIrTe4${\rm TaIrTe}_4$ under visible and long‐wave infrared illumination are due to a large transverse thermoelectric response of the material.
Morgan G. Blevins +6 more
wiley +1 more source

