Results 41 to 50 of about 45,618 (222)
Modeling Belt-Servomechanism by Chebyshev Functional Recurrent Neuro-Fuzzy Network
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2008 A novel Chebyshev functional recurrent neuro-fuzzy (CFRNF) network is developed from a combination of the Takagi-Sugeno-Kang (TSK) fuzzy model and the Chebyshev recurrent neural network (CRNN).
Yuan-Ruey HUANG +3 more
doaj +1 more source
Advanced Robotics Research, EarlyView.An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid +7 more
wiley +1 more source
Modelling of Chaotic Processes with Caputo Fractional Order Derivative
Entropy, 2020 Chaotic dynamical systems are studied in this paper. In the models, integer order time derivatives are replaced with the Caputo fractional order counterparts. A Chebyshev spectral method is presented for the numerical approximation.
Kolade M. Owolabi +4 more
doaj +1 more source
On superintegrable systems separable in Cartesian coordinates
, 2018 We continue the study of superintegrable systems of Thompson's type separable in Cartesian coordinates. An additional integral of motion for these systems is the polynomial in momenta of N-th order which is a linear function of angle variables and the ...
Grigoriev, Yu. A., Tsiganov, A. V.
core +1 more source
Preconditioned Chebyshev BiCG for parameterized linear systems
, 2022 We consider the problem of approximating the solution to $A(μ) x(μ) = b$ for many different values of the parameter $μ$. Here we assume $A(μ)$ is large, sparse, and nonsingular with a nonlinear dependence on $μ$. Our method is based on a companion linearization derived from an accurate Chebyshev interpolation of $A(μ)$ on the interval $[-a,a]$, $a \in \
Correnty, Siobhán +2 more
openaire +2 more sources
Advanced Science, EarlyView.We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
On the parallel solution of parabolic equations [PDF]
, 1989 Parallel algorithms for the solution of linear parabolic problems are proposed. The first of these methods is based on using polynomial approximation to the exponential. It does not require solving any linear systems and is highly parallelizable. The two
Gallopoulos, E., Saad, Youcef
core +2 more sources
Advanced Science, EarlyView.This work demonstrates a receiver‐transmitter‐integrated metasurface that decomposes an incident wave into orthogonal components and routes them into separate channels. Inspired by a “Wheel‐of‐Fortune” mechanism, it enables independent control over the amplitude, phase, and polarization of the transmitted wave.
Tong Liu +8 more
wiley +1 more source
An Improved Multi-Chaotic Public Key Algorithm Based on Chebyshev Polynomials
AlgorithmsDue to the similar characteristics of chaotic systems and cryptography, public key encryption algorithms based on chaotic systems are worth in-depth research and have high value for the future.
Chunfu Zhang +6 more
doaj +1 more source
Science and Technology of Nuclear Installations, 2018 A new method based on shifted Chebyshev series of the first kind is introduced to solve stiff linear/nonlinear systems of the point kinetics equations. The total time interval is divided into equal step sizes to provide approximate solutions.
Yasser Mohamed Hamada
doaj +1 more source