Results 21 to 30 of about 167,189 (264)

Leveraging Stochasticity for Open Loop and Model Predictive Control of Spatio-Temporal Systems

open access: yesEntropy, 2021
Stochastic spatio-temporal processes are prevalent across domains ranging from the modeling of plasma, turbulence in fluids to the wave function of quantum systems. This letter studies a measure-theoretic description of such systems by describing them as
George I. Boutselis   +3 more
doaj   +1 more source

Displacement control of integrated ionic polymer-metal composite actuator with stochastic ON/OFF controller

open access: yesNihon Kikai Gakkai ronbunshu, 2017
An ionic polymer-metal composite (IPMC) actuator is an electric driven soft actuator. It is fabricated by chemically plating metal on both surface of an ion-exchange membrane. It is able to be activated by a simple driving circuit and low applied voltage
Keishiro KIMURA, Norihiro KAMAMICHI
doaj   +1 more source

Optimal Investment and Liability Ratio Policies in a Multidimensional Regime Switching Model

open access: yesRisks, 2017
We consider an insurer who faces an external jump-diffusion risk that is negatively correlated with the capital returns in a multidimensional regime switching model. The insurer selects investment and liability ratio policies continuously to maximize her/
Bin Zou, Abel Cadenillas
doaj   +1 more source

Implicit Prioritization of Life Insurance Coverage: A Study of Policyholder Preferences in a Danish Pension Company

open access: yesRisks
This study evaluates the utility derived by policyholders in a Danish pension company, from their life insurance coverages. We quantify the relative importance policyholders assign to their existing coverages versus a hypothetical complete coverage ...
Julie Bjørner Søe
doaj   +1 more source

Stochastic Control with Signatures

open access: yesSIAM Journal on Control and Optimization
This paper proposes to parameterize open loop controls in stochastic optimal control problems via suitable classes of functionals depending on the driver's path signature, a concept adopted from rough path integration theory. We rigorously prove that these controls are dense in the class of progressively measurable controls and use rough path methods ...
Peter Bank   +4 more
openaire   +2 more sources

Networked Control With Stochastic Scheduling

open access: yesIEEE Transactions on Automatic Control, 2015
This note develops the time-delay approach to networked control systems with scheduling protocols, variable delays and variable sampling intervals. The scheduling of sensor communication is defined by a stochastic protocol. Two classes of protocols are considered. The first one is defined by an independent and identically-distributed stochastic process.
Kun Liu 0002   +2 more
openaire   +3 more sources

Stochastic control with state constraints via the Fokker–Planck equation. Application to renewable energy plants with batteries

open access: yesComptes Rendus. Mécanique
Although renewable energies are beneficial to reduce carbon emissions, its intermittent characteristics may result in power-supply issues in distribution grid. Battery energy storage system is generally regarded as an effective tool to deal with them. On
Bermúdez, Alfredo, Padín, Iago
doaj   +1 more source

Optimal and Suboptimal Control of a Standard Brownian Motion

open access: yesArchives of Control Sciences, 2016
The problem of optimally controlling a standard Brownian motion until a fixed final time is considered in the case when the final cost function is an even function. Two particular problems are solved explicitly.
Lefebvre Mario
doaj   +1 more source

Stochastic Power Control Strategy for Hybrid Electric Propulsion Ships Using Markov Chain-Based Operational Data Augmentation

open access: yesJournal of Marine Science and Engineering
Since power demand varies due to uncertain environmental conditions, a deterministic power control strategy for hybrid electric propulsion ships contains a limitation in securing robust performance.
Su Bin Choi, Soon Ho Hong, Sun Je Kim
doaj   +1 more source

High-Order Disturbance Observer-Based Neural Adaptive Control for Space Unmanned Systems With Stochastic and High-Dynamic Uncertainties

open access: yesIEEE Access, 2021
In this paper, a high order disturbance observer based stochastic adaptive anti-disturbance control algorithm has been designed for the space unmanned systems (SUSs) with high dynamic disturbances and stochastic uncertainties.
Yao Zhang   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy