Results 1 to 10 of about 85,002 (312)
Resetting in stochastic optimal control
Physical Review Research, 2023 “When in a difficult situation, it is sometimes better to give up and start all over again.” While this empirical truth has been regularly observed in a wide range of circumstances, quantifying the effectiveness of such a heuristic strategy remains an ...
Benjamin De Bruyne, Francesco Mori
doaj +4 more sources
Optimal control in stochastic thermodynamics
Journal of Physics Communications, 2023 We review recent progress in optimal control in stochastic thermodynamics. Theoretical advances provide in-depth insight into minimum-dissipation control with either full or limited (parametric) control, and spanning the limits from slow to fast driving ...
Steven Blaber, David A Sivak
doaj +3 more sources
An approximate stochastic optimal control framework to simulate nonlinear neuro-musculoskeletal models in the presence of noise. [PDF]
PLoS Computational Biology, 2022 Optimal control simulations have shown that both musculoskeletal dynamics and physiological noise are important determinants of movement. However, due to the limited efficiency of available computational tools, deterministic simulations of movement focus
Tom Van Wouwe +2 more
doaj +2 more sources
Reinforcement learning-based optimal control for stochastic opinion dynamics [PDF]
Scientific ReportsThis paper proposes a integrated framework for optimal control of opinion dynamics in social networks, addressing three progressively challenging scenarios: Model-based stochastic control, where agent interactions follow known probability distributions ...
Yajin Chen +3 more
doaj +2 more sources
Optimal stochastic tracking control for brain network dynamics [PDF]
Communications BiologyNetwork control theory (NCT) has recently been utilized in neuroscience to facilitate our understanding of brain stimulation effects and explore optimal paradigms.
Kangli Dong +7 more
doaj +2 more sources
Sparse optimal stochastic control [PDF]
Automatica, 2021 In this paper, we investigate a sparse optimal control of continuous-time stochastic systems. We adopt the dynamic programming approach and analyze the optimal control via the value function. Due to the non-smoothness of the $L^0$ cost functional, in general, the value function is not differentiable in the domain.
Kaito Ito, Takuya Ikeda, Kenji Kashima
openaire +2 more sources
Stochastic Optimal Control of a Sailboat [PDF]
IEEE Control Systems Letters, 2022 In match race sailing, competitors must steer their boats upwind in the presence of unpredictably evolving weather. Combined with the tacking motion necessary to make upwind progress, this makes it natural to model their path-planning as a hybrid stochastic optimal control problem.
Cole Miles, Alexander Vladimirsky
openaire +2 more sources
Minimal Expected Time in Drawdown through Investment for an Insurance Diffusion Model
Risks, 2021 Consider an insurance company whose surplus is modelled by an arithmetic Brownian motion of not necessarily positive drift. Additionally, the insurer has the possibility to invest in a stock modelled by a geometric Brownian motion independent of the ...
Leonie Violetta Brinker
doaj +1 more source
Stochastic optimal control analysis for the hepatitis B epidemic model
Results in Physics, 2021 Mathematical formulation of a stochastic hepatitis B virus (HBV) model with the application of optimal control and randomly noise transmission has been focused in this paper. For the ease of understanding, the model is divided into four different classes
Peijiang Liu +3 more
doaj +1 more source
STOCHASTIC OPTIMAL CONTROL OF A TWO-DIMENSIONAL DYNAMICAL SYSTEM [PDF]
Journal of Engineering Science (Chişinău), 2020 In this paper, we considered the problem of optimally controlling a twodimensional dynamical system until it reaches either of two boundaries. We consider a controlled dynamical system (X(t), Y(t)) which is a generalization of the classic twodimensional ...
Lefebvre, Mario
doaj +1 more source