Abstract: Addressing chance constraints in stochastic model predictive control (MPC) poses a significant challenge, especially in investigating recursive feasibility in the closed-loop system. We ...

ABSTRACT: This paper deal with the application of stochastic optimal control technique in production and inventory model for a fixed or constant demand rate where the stochastic differential equations ...

If you work in commercial real estate (CRE), chances are Excel is one of the tools you most rely on. From quick calculations to complex financial models, it is a staple for professionals assessing ...

OpenAI announced today that it is releasing a new family of artificial intelligence models optimized to excel at coding, as it ramps up efforts to fend off increasingly stiff competition from ...

On his second LP, the Berlin-based musician opens himself to chance and presents a vision of techno that harnesses randomness for all its potential. He emerges a more remarkable musician than ever.

Abstract: This paper proposes an event-triggered stochastic model predictive control for discrete-time linear time-invariant (LTI) systems under additive stochastic disturbances. It first constructs a ...

In order to give full play to the energy supply potential of distributed energy resources, this paper studies the scheduling optimization of CHP-VPP. First, the CHP unit and various distributed energy ...

Conducting Monte Carlo simulation of stochastic models (GBM, Merton Jump Diffusion Model) for the forecasting of stock positions. Serves as a "prelude" to the heston repository. Quantification of risk ...

*Stochastic Modelling of Vector-Borne Diseases with Household Structures* Thesis submitted for the degree of Honours of Mathematical Sciences in Applied Mathematics at The University of Adelaide.