Results 21 to 30 of about 10,002,855 (293)

A Hardware Efficient Random Number Generator for Nonuniform Distributions with Arbitrary Precision

open access: yesInternational Journal of Reconfigurable Computing, 2012
Nonuniform random numbers are key for many technical applications, and designing efficient hardware implementations of non-uniform random number generators is a very active research field.
Christian de Schryver   +6 more
doaj   +1 more source

Stochastic Hybrid Control

open access: yesJournal of Mathematical Analysis and Applications, 2000
The authors consider a complicated version of controlled stochastic systems. The time \(t\) is measured continuously. The state of the system is represented by a continuous variable \(x\) and a discrete variable \(n\). Also, the control has two parts, a continuous type control \(v\) that is a measurable stochastic process and a discrete-type (or ...
Bensoussan, Alain, Menaldi, José-Luis
openaire   +3 more sources

Almost sure exponential stabilisation of stochastic systems by state-feedback control [PDF]

open access: yes, 2008
So far, a major part of the literature on the stabilisation issues of stochastic systems has been dedicated to mean square stability. This paper develops a new class of criteria for designing a controller to stabilise a stochastic system almost surely ...
Mao, Xuerong, Hu, Liangjian
core   +4 more sources

Robust Stochastic Observer-Based Attack-Tolerant Missile Guidance Control Design Under Malicious Actuator and Sensor Attacks

open access: yesIEEE Access, 2021
In this study, the robust $H_{\infty }$ stochastic observer-based attack-tolerant guidance control strategy is designed for the nonlinear stochastic missile guidance control system under the external disturbance and measurement noise as well as ...
Bor-Sen Chen, Sheng-Yen Hsu, Min-Yen Lee
doaj   +1 more source

A posteriori error estimation for stochastic static problems [PDF]

open access: yes, 2014
To solve stochastic static field problems, a discretization by the Finite Element Method can be used. A system of equations is obtained with the unknowns (scalar potential at nodes for example) being random variables. To solve this stochastic system, the
MAC, Hung, CLENET, Stephane
core   +1 more source

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

New approach to stochastic optimal control and applications to economics [PDF]

open access: yes, 2005
This paper provides new insights into the solution of optimal stochastic control problems by means of a system of partial differential equations, which characterize directly the optimal control.
Rincón-Zapatero, Juan Pablo   +1 more
core   +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

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

Home - About - Disclaimer - Privacy