Results 51 to 60 of about 72,024 (232)

Chattering phenomenon in quantum optimal control

open access: yesNew Journal of Physics, 2022
We present a quantum optimal control problem which exhibits a chattering phenomenon. This is the first instance of such a process in quantum control. Using the Pontryagin Maximum Principle and a general procedure due to V F Borisov and M I Zelikin, we ...
R Robin, U Boscain, M Sigalotti, D Sugny
doaj   +1 more source

Robust Mean–Variance Portfolio Optimization: Mean–Variance–Variance Criterion Versus Mean–Variance–Standard Deviation Criterion

open access: yesMathematical Finance, EarlyView.
ABSTRACT We study a dynamic portfolio optimization problem under the mean–variance–variance (M‐V‐V) criterion proposed by Maccheroni et al. It is an analogue of the Arrow–Pratt approximation to the well‐known smooth ambiguity model. Under the standard Black–Scholes framework, we derive fully explicit equilibrium investment strategies in which a DM's ...
David Landriault, Bin Li, Yuanyuan Zhang
wiley   +1 more source

Necessary and Sufficient Conditions of Optimality for a Damped Hyperbolic Equation in One-Space Dimension

open access: yesAbstract and Applied Analysis, 2014
The present paper deals with the necessary optimality condition for a class of distributed parameter systems in which the system is modeled in one-space dimension by a hyperbolic partial differential equation subject to the damping and mixed constraints ...
Ismail Kucuk, Kenan Yildirim
doaj   +1 more source

Energy Efficient and Safe Control Strategy for Electric Vehicles Including Driver Preference

open access: yesIEEE Access, 2021
In this manuscript, a control strategy for electric vehicles is developed to optimise the energy consumption while respecting constraints associated with both inter-vehicle safety and comfort, which is a challenge in typical optimal control solution ...
Sepehr G. Dehkordi   +4 more
doaj   +1 more source

On The Pontryagin Maximum Principle For Optimal Control Problems [PDF]

open access: yes, 2017
학위논문 (석사)-- 서울대학교 대학원 : 수리과학부, 2017. 2. 하승열.The purpose of this thesis is to present a survey on the Pontryagin maximum principle. The main purpose of optimal control theory is to find an optimal control and its corresponding optimal trajectory. However,
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A Data‐Driven Control Framework for HIV Infection Using Projection Recurrent Neural Networks and Singular Value Analysis

open access: yesEngineering Reports, Volume 8, Issue 6, June 2026.
The study introduces a model‐free data‐driven control strategy combining sliding mode control with a projection recurrent neural network to regulate HIV dynamics. The method eliminates dependence on mathematical models, ensures constrained optimal drug dosing, and robustly drives HIV states to a healthy equilibrium despite uncertainty. ABSTRACT In this
Ashkan Zarghami   +2 more
wiley   +1 more source

Pontryagin maximum principle for Rydberg-blockaded state-to-state transfers: A semianalytic approach

open access: yesPhysical Review Research
We study time-optimal state-to-state control for two- and multiqubit operations motivated by neutral-atom quantum processors within the Rydberg blockade regime.
Federico Astolfi   +2 more
doaj   +1 more source

Continuous-Time Portfolio Selection: A Cursory Survey

open access: yesFrontiers in Applied Mathematics and Statistics, 2020
In this article we provide a short survey on continuous-time portfolio selection. We explain the pioneering contribution of Merton and the use of dynamic programming.
Se Yung Bae, Junkee Jeon, Hyeng Keun Koo
doaj   +1 more source

Evaporation of liquid under acoustic-vacuum exposure

open access: yesCase Studies in Thermal Engineering, 2021
The theory of optimal control used is based on the Pontryagin maximum principle under the acoustic-vacuum exposure affecting the liquid evaporation process in an experimental container.
V.I. Trushlyakov   +2 more
doaj   +1 more source

Optimal Control‐Based Generic Framework for Radiofrequency Pulse Design in MRI

open access: yesNMR in Biomedicine, Volume 39, Issue 6, June 2026.
This paper presents an open‐source Python‐based optimal control RF design framework, which can tackle various problems (short‐T2 selective excitation or B1‐robust excitation/inversion). It features three main methodological contributions: a specific cost is introduced to reduce pulse peak amplitude; consistent integration of various hard constraints on
Emilio Molina   +2 more
wiley   +1 more source

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