Results 71 to 80 of about 11,915,044 (298)
Online-Computation Approach to Optimal Control of Noise-Affected Nonlinear Systems with Continuous State and Control Spaces [PDF]
22.10.13 KB. Ok to add author version to spiral.A novel online-computation approach to optimal control of nonlinear, noise-affected systems with continuous state and control spaces is presented.
Deisenroth, Marc P +3 more
core
Stochastic optimization problems are the study of dynamical systems subject to random perturbations which can be controlled in order to optimize some performance criterion.
Baten, Md Azizul
core +1 more source
This study proposes a potential device design for joint cartilage replacement. Silica‐polytetrahydrofuran (SiO2‐PolyTHF) hybrids with customizable mechanical properties were developed to mimic the characteristics of a natural meniscus. These were synthesized through a two‐pot sol–gel hybrid process.
Yu‐Chien Lin +12 more
wiley +1 more source
Optimal control of partially observable linear quadratic systems with asymmetric observation errors [PDF]
This paper deals with the optimal quadratic control problem for non-Gaussian discrete-time stochastic systems. Our main result gives explicit solutions for the optimal quadratic control problem for partially observable dynamic linear systems with ...
Romera, Rosario
core +1 more source
Maximum Principle for Stochastic Recursive Optimal Control Problems Involving Impulse Controls
We consider a stochastic recursive optimal control problem in which the control variable has two components: the regular control and the impulse control.
Zhen Wu, Feng Zhang
doaj +1 more source
Rotary 3D Printing With Integrated Electroplating
A rotary material extrusion platform integrates localized copper electroplating with printing and encapsulation to fabricate cylindrical polymer–metal structures containing fully embedded, low‐resistance conductive pathways that enable internal Joule heating and thermally activated shape‐memory responses.
Antonio Zagaria +5 more
wiley +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
In 1968, Wonham proposed the stochastic linear quadratic optimal control problem.Subsequently, in 1976 Bismut began to study the stochastic linear quadratic optimal control problems with random coefficients.Until 1998, Chen, Li, and Zhou successfully ...
ZHANG Xian-Feng
doaj
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

