Results 51 to 60 of about 7,263,956 (278)
dynoGP: Deep Gaussian Processes for Dynamic System Identification
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 +3 more
wiley +1 more source
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt +5 more
wiley +1 more source
This paper discusses the mean-square exponential stability of uncertain neutral linear stochastic systems with interval time-varying delays. A new augmented Lyapunov-Krasovskii functional (LKF) has been constructed to derive improved delay-dependent ...
Weihua Mao, Feiqi Deng, Anhua Wan
doaj +1 more source
Sufficient conditions equivalent concepts of stochastic stability and exponential stability in the mean square for stochastic dynamic systems random structure with Markov switching are obtained.
T. O. Лукашів, І. В. Малик
doaj +1 more source
Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic +2 more
wiley +1 more source
In this paper, exponential stability and robust H∞ control problem are investigated for a class of discrete-time time-delay stochastic systems with infinite Markov jump and multiplicative noises.
Yueying Liu, Ting Hou
doaj +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Stability Analysis and Robust H∞ Control of Switched Stochastic Systems with Time-Varying Delay
The problems of mean-square exponential stability and robust H∞ control of switched stochastic systems with time-varying delay are investigated in this paper.
Zhengrong Xiang, Guoxin Chen
doaj +1 more source
SENSITIVITY TO SMALL DELAYS OF MEAN SQUARE STABILITY FOR STOCHASTIC NEUTRAL EVOLUTION EQUATIONS [PDF]
In this work, we are concerned about the mean square exponential stability property for a class of stochastic neutral functional differential equations with small delay parameters.
Wang, Xiulian, Wang, Wei, Liu, Kai
core +1 more source

