Results 51 to 60 of about 1,450,399 (320)
Stochastic Optimal Control of Parallel Hybrid Electric Vehicles
Energy management strategies (EMSs) in hybrid electric vehicles (HEVs) are highly related to the fuel economy and emission performances. However, EMS constitutes a challenging problem due to the complex structure of a HEV and the unknown or partially ...
Feiyan Qin +4 more
doaj +1 more source
Assessing non-convex value functions for the optimal control of stochastic differential equations
Solving the optimal control of stochastic differential equations (SDEs) using the dynamic programming method requires writing the problem in terms of the so-called value function. This paper presents conditions to assure that the value function is convex
Elmer Lévano +2 more
doaj +1 more source
We study quadratic optimal stochastic control problems with control dependent noise state equation perturbed by an affine term and with stochastic coefficients. Both infinite horizon case and ergodic case are treated.
Guatteri, Giuseppina, Masiero, Federica
core +1 more source
Dynamic consistency for Stochastic Optimal Control problems [PDF]
For a sequence of dynamic optimization problems, we aim at discussing a notion of consistency over time. This notion can be informally introduced as follows.
Carpentier, Pierre +4 more
core +6 more sources
Diffusion Approximation and Optimal Stochastic Control [PDF]
By the same goal with the previous paper of these authors [SIAM J. Control Optimization 34, No. 1, 161-178 (1996; Zbl 0867.93085)] but considering the case of a stochastic control model admitted a diffusion approximation, they show in the present paper that an optimal Lipschitz feedback control of the limit model \[ dX_t = [A_0 (t,X_t)+ a_1 (t,X_t)u_t]
Liptser, R. +2 more
openaire +2 more sources
AAA+ protein unfoldases—the Moirai of the proteome
AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley +1 more source
Receding horizon control strategy for an electric vehicle with dual-motor coupling system in consideration of stochastic vehicle mass. [PDF]
Additional degrees of freedom existed in dual-motor coupling system bring considerable challenge to the optimal control of electric vehicles. Moreover, the stochastic characteristic of vehicle mass can further increase this challenge.
Hongqiang Guo +4 more
doaj +1 more source
Guaranteed robustness properties of multivariable, nonlinear, stochastic optimal regulators [PDF]
The robustness of optimal regulators for nonlinear, deterministic and stochastic, multi-input dynamical systems is studied under the assumption that all state variables can be measured.
Athans, M., Tsitsiklis, J. N.
core +2 more sources
On the optimally controlled stochastic shallow lake
We consider the stochastic control problem of the shallow lake and continue the work of G. T. Kossioris, Loulakis, and Souganidis (2019) in three directions. First, we generalise the characterisation of the value function as the viscosity solution of a well-posed problem to include more general recycling rates.
Angeliki Koutsimpela, Michail Loulakis
openaire +2 more sources
Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance
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

