Results 81 to 90 of about 3,814,069 (243)

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Vers un outil unique de connaissance

, 2022
L’Observatoire national de l’artificialisation travaille avec quelques départements pilotes sur un outil de mesure (OCS GE) qui permettra de connaître avec finesse les évolutions à l’œuvre et d’établir des comparaisons. Pascal Lory, directeur du projet "
Revue d'urbanisme Diagonal
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Metoda quasi-Newton diagonală bazată pe minimizarea funcţiei Byrd-Nocedal pentru optimizare fără restricţii [PDF]

Revista Română de Informatică și Automatică, 2018
A new quasi-Newton method with a diagonal updating matrix is suggested, where the diagonal elements are determined by minimizing the measure function of Byrd and Nocedal subject to the weak secant equation of Dennis and Wolkowicz.
Neculai ANDREI
doaj  

A quantum algorithm for linear autonomous differential equations via Padé approximation [PDF]

Quantum
We propose a novel quantum algorithm for solving linear autonomous ordinary differential equations (ODEs) using the Padé approximation. For linear autonomous ODEs, the discretized solution can be represented by a product of matrix exponentials.
Dekuan Dong, Yingzhou Li, Jungong Xue
doaj   +1 more source

Diagonally loaded SMI algorithm based on inverse matrix recursion

Journal of Systems Engineering and Electronics, 2007
Abstract The derivation of a diagonally loaded sample-matrix inversion (LSMI) algorithm on the busis of inverse matrix recursion (i.e. LSMI-IMR algorithm) is conducted by reconstructing the recursive formulation of covariance matrix. For the new algorithm, diagonal loading is by setting initial inverse matrix without any addition of computation.
Cao Jianshu, Wang Xuegang
openaire   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

An interpolatory subdivision algorithm for surfaces over arbitrary triangulations [PDF]

, 1992
In this paper, an interpolatory subdivision algorithm for surfaces over ar-bitrary triangulations is introduced and its convergence properties over nonuni-form triangulations studied.
Qu, R
core   +4 more sources

An Improved Reduced-Dimension Robust Capon Beamforming Method Using Krylov Subspace Techniques

Sensors
A reduced-dimension robust Capon beamforming method using Krylov subspace techniques (RDRCB) is a diagonal loading algorithm with low complexity, fast convergence and strong anti-interference ability.
Xiaolin Wang, Xihai Jiang, Yaowu Chen
doaj   +1 more source

Fast local convergence for flow topology optimization using the lattice Boltzmann method with a modified Newton method

Nihon Kikai Gakkai ronbunshu, 2015
We propose a Newton-gradient-hybrid optimization method for fluid topology optimization. The method accelerates convergence and reduces computation time. In addition, the fluid-solid boundaries are clearly distinguished.
Kazuo YONEKURA, Yoshihiro KANNO
doaj   +1 more source