Results 31 to 40 of about 1,639,808 (340)
H ? filtering for stochastic singular fuzzy systems with time-varying delay [PDF]
, 2014 This paper considers the H? filtering problem for stochastic singular fuzzy systems with timevarying delay. We assume that the state and measurement are corrupted by stochastic uncertain exogenous disturbance and that the system dynamic is modeled ...
Cai, Min +3 more
core +1 more source
"Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors" [PDF]
An efficient Bayesian estimation using a Markov chain Monte Carlo method is proposed in the case of a multivariate stochastic volatility model as a natural extension of the univariate stochastic volatility model with leverage and heavy-tailed errors ...
Yasuhiro Omori, Tsunehiro Ishihara
core +4 more sources
Actuators, 2021 This paper presents a predefined-time convergent robust control algorithm that allows the control designer to set the convergence time in advance, independently of initial conditions, deterministic disturbances, and stochastic noises.
Nain de la Cruz, Michael Basin
doaj +1 more source
Stochastic approximation with dependent disturbances—I
Computers & Mathematics with Applications, 1987 The author studies a generalization of the Robbins-Monro procedure when disturbances satisfy a law of large numbers (strong or week) and proves convergence of this stochastic approximation procedure (accordingly, almost surely or in probability). The proofs of results are based on properties of deterministic iterative procedures for seeking zeros of ...
openaire +2 more sources
, 2010 The official published version can found at the link below.Noises are ubiquitous in genetic regulatory networks (GRNs). Gene regulation is inherently a stochastic process because of intrinsic and extrinsic noises that cause kinetic parameter variations ...
Min Du +14 more
core +1 more source
Stochastic Model Predictive Control Using Simplified Affine Disturbance Feedback for Chance-Constrained Systems [PDF]
, 2021 This letter covers the model predictive control of linear discrete-time systems subject to stochastic additive disturbances and chance constraints on their state and control input.
Zhang, Jingyu, Ohtsuka, Toshiyuki
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Stochastic LQR Design With Disturbance Preview
CoRRThis paper considers the discrete-time, stochastic LQR problem with $p$ steps of disturbance preview information where $p$ is finite. We first derive the solution for this problem on a finite horizon with linear, time-varying dynamics and time-varying costs.
Jietian Liu +2 more
openaire +2 more sources
Identification of a Stochastic Dynamic Model for Aircraft Flight Attitude Based on Measured Data
International Journal of Aerospace Engineering, 2023 Stochastic disturbances are everywhere. The influence of stochastic factors on the modeling and simulation of aircraft flight dynamics should be considered.
Haiquan Li +5 more
doaj +1 more source
FEBS Letters, EarlyView.Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley +1 more source
Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance
Aging and Cancer, EarlyView.NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang +3 more
wiley +1 more source