Stochastic multi-symplectic Runge–Kutta methods for stochastic Hamiltonian PDEs
Sign Up to like & getrecommendations! Published in 2019 at "Applied Numerical Mathematics"
DOI: 10.1016/j.apnum.2018.09.011
Abstract: In this paper, we consider stochastic Runge-Kutta methods for stochastic Hamiltonian partial differential equations and present some sufficient conditions for multisymplecticity of stochastic Runge-Kutta methods of stochastic Hamiltonian partial differential equations. Particularly, we apply these… read more here.
Keywords: runge kutta; methods stochastic; kutta methods; multi symplectic ... See more keywords
On input-to-state stability for stochastic multi-group models with multi-dispersal
Sign Up to like & getrecommendations! Published in 2017 at "Applicable Analysis"
DOI: 10.1080/00036811.2016.1246659
Abstract: This paper focuses on the input-to-state stability for a general class of stochastic multi-group models with multi-dispersal. By incorporating graph theory with Lyapunov method as well as stochastic analysis techniques, novel sufficient criteria are derived,… read more here.
Keywords: input state; state stability; stochastic multi; multi group ... See more keywords
Event-triggered consensus control for stochastic multi-agent systems under state-dependent topology
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Control"
DOI: 10.1080/00207179.2019.1707289
Abstract: In this study, the mean square consensus problem for stochastic multi-agent systems with nonlinear protocols is concerned. In particular, the topological structure of the system is characterised by state-dependent directed graph, in which the edges… read more here.
Keywords: agent; control; state dependent; multi agent ... See more keywords
Distributed Observer-Based Leader-Following Consensus Control for Second-Order Stochastic Multi-Agent Systems
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2820813
Abstract: This paper focuses on the leader-following consensus problem of second-order nonlinear stochastic multi-agent systems. The velocity of each follower agent is unmeasured. The distributed “reduced-order observer” is built for every follower to estimate its unknown… read more here.
Keywords: agent; order; agent systems; consensus ... See more keywords
A Flexible Stochastic Multi-Agent ADMM Method for Large-Scale Distributed Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3120017
Abstract: While applying stochastic alternating direction method of multiplier (ADMM) methods has become enormously potential in distributed applications, improving the algorithmic flexibility can bring huge benefits. In this paper, we propose a novel stochastic optimization method… read more here.
Keywords: stochastic multi; multi agent; flexible stochastic; optimization ... See more keywords
Stochastic Multi-object Guidance Laws for Interception and Rendezvous Problems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3062559
Abstract: This article considers the problem of guiding an unknown number of controllable interceptors to rendezvous with the same target at the same time. It is assumed that the all of the interceptors and the target… read more here.
Keywords: object guidance; stochastic multi; guidance; guidance laws ... See more keywords
Stochastic Multi-Dimensional Deconvolution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3179626
Abstract: Geophysical measurements such as seismic datasets contain valuable information that originate from areas of interest in the subsurface; these seismic reflections are, however, inevitably contaminated by other events created by waves reverberating in the overburden.… read more here.
Keywords: deconvolution; stochastic multi; multi dimensional; dimensional deconvolution ... See more keywords
Stochastic Multi-Objective Vehicle Routing Model in Green Environment With Customer Satisfaction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3156685
Abstract: The Vehicle Routing Problem (VRP) is one of the most studied combinatorial optimization problems in operations research that are classified as NP-hard. Introducing uncertainty to the problem increases the complexity of solving such problems. Sources… read more here.
Keywords: multi objective; stochastic multi; vehicle routing; green environment ... See more keywords