Results 201 to 210 of about 121,660,120 (301)
Nonlinear Control Theory Applications in Complex System Optimization
This paper investigates the application of nonlinear control theory, specifically Sliding Mode Control (SMC) and Model Predictive Control (MPC), to optimize complex systems exhibiting highly nonlinear dynamics. Traditional control methods often struggle with the inherent uncertainties and complexities of these systems.
openaire +1 more source
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang +14 more
wiley +1 more source
Trajectory tracking control of unmanned aerial vehicle with disturbance observer and robust adaptive neural dynamic surface. [PDF]
Pan X, Wang D, Liu Y, Nan X.
europepmc +1 more source
First‐principles calculations reveal that monolayer In2O${\rm In}_2{\rm O}$ hosts type‐II Dirac fermions near the Fermi level, which split into Weyl points under spin‐orbit coupling. The material exhibits negative and giant magnetoresistance, a pronounced spin Hall effect, and phonon‐mediated superconductivity at 1.5 K, establishing it as a unique ...
Qing‐Bo Liu +6 more
wiley +1 more source
Mathematical dynamic integration model based on game theory and optimization theory. [PDF]
Wang J, Huang X, Li S.
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ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan +8 more
wiley +1 more source
Thermoelastic wave propagation in fibre-reinforced plates with exponential temperature-dependent conductivity under fluid-structure interaction. [PDF]
Almoneef A +4 more
europepmc +1 more source
Based on Chaos Theory: Modeling and Control of Nonlinear Systems
This paper presents a novel approach to modeling and controlling nonlinear systems based on chaos theory. The core of this methodology lies in leveraging the inherent characteristics of chaotic systems, specifically their sensitivity to initial conditions and complex dynamical behavior, to achieve accurate system modeling and effective control.
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Superatom Distortion Induces Triferroicity and Spin Splitting in Two‐Dimensional Antiferromagnets
The incorporation of superatoms into a 2D square lattice induces symmetry breaking, thereby enabling concurrent coupling among magnetism, ferroelectricity, and ferroelasticity. This strategy achieves triferroic behavior—characterized by spin‐split antiferromagnetic ground states—and offers a viable pathway toward energy‐efficient spintronic devices ...
Zhen Gao +6 more
wiley +1 more source

