Results 81 to 90 of about 85,002 (312)

Stochastic linear regulator problem in optimal control theory: Stochastic optimal linear regulator problem

, 2012
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  

Dynamic programming principle for backward doubly stochastic recursive optimal control problem and sobolev weak solution of the stochastic Hamilton-Jacobi-Bellman equation

Fundamental Research
In this paper, we investigate a backward doubly stochastic recursive optimal control problem wherein the cost function is expressed as the solution to a backward doubly stochastic differential equation.
Yunhong Li, Anis Matoussi, Lifeng Wei, Zhen Wu   +3 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

The international stock pollutant control: a stochastic formulation with transfers [PDF]

This paper provides a formulation of a stochastic dynamic game that arise in the real scenario of international environmental agreements on the transnational pollution control.
Omar J. Casas, Rosario Romera
core  

Linear quadratic optimal control problem for stochastic evolution equations with terminal state constraints in infinite dimensions

四川大学学报. 自然科学版
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  

Optimal Control of an Electromechanical Energy Harvester

Entropy
Many techniques originally developed in the context of deterministic control theory have recently been applied to the quest for optimal protocols in stochastic processes.
Dario Lucente, Alessandro Manacorda, Andrea Plati, Alessandro Sarracino, Marco Baldovin   +4 more
doaj   +1 more source

Droplet Electricity Generators With Maximized Energy Collection Zone Enabled by Aloe‐Inspired Midrib and Cuticle

Advanced Materials, EarlyView.
An Aloe‐pinspired droplet electricity generator (A‐DEG) overcomes the limited energy collection zone of conventional DEGs by guiding impact droplets through a channeling midrib and artificial cuticle. The channeling midrib induces uni‐directional droplet spreading, while the artificial cuticle on the midrib further reinforces this behavior through its ...
Gibeom Lee, Eunbyeol Kim, Kyongtae Choi, Minjun Song, Sunmin Jang, Dongwhi Choi, Donghyun Seo, Min‐Gyu Lee, Younghoon Lee   +8 more
wiley   +1 more source

Optimal Feedback Control Rules Sensitive to Controlled Endogenous Risk-Aversion [PDF]

The objective of this paper is to correct and improve the results obtained by Van der Ploeg (1984a, 1984b) and utilized in the literature related to feedback stochastic optimal control sensitive to constant exogenous risk-aversion (Karp 1987; Whittle ...
Dan Protopopescu
core  

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source

Chebyshev wavelet-based method for solving various stochastic optimal control problems and its application in finance [PDF]

Iranian Journal of Numerical Analysis and Optimization
In this paper, a computational method based on parameterizing state and control variables is presented for solving Stochastic Optimal Control (SOC) problems.
M. Yarahmadi, S. Yaghobipour
doaj   +1 more source