Uncertainty theory is a mathematical methodology for dealing withnon-determinate phenomena in nature. As we all know, uncertainprocess and uncertain integral are important contents of uncertaintytheory, so it is necessary to have deep research. This paperpresents the definition and discusses some properties of strongcomonotonic uncertain process. Besides, some useful formulas ofuncertain integr...

Uncertainty impacts many crucial issues the world is facing today – from climate change prediction, to scientific modelling, to the interpretation of medical data. Decisions typically rely on data which can be aggregated from different sources and further transformed using a variety of algorithms andmodels. Such data processing pipelines involve different types of uncertainty. As visual data re...

This paper presents an architecture for controlling a quadrotor transporting cable-suspended load of uncertain mass. A family trajectories is proposed that composed by three phases—lift-off, transit, and landing—and implemented as hybrid system. The control system uses adaptive geometric controller with asymptotic tracking stability. mass the transported was estimated using mechanism, which adj...

This paper presents a power flow algorithm to carry out load flow by analysing uncertainties. The proposed algorithm is compared with Fuzzy arithmetic to deal the effect of uncertainity. The proposed method is Interval load flow i.e. Interval Improved Fast Decoupled Power Flow (IIFDPF) that considers input parameters as interval variables and considered method is trapezoidal method have been em...

since the emergence of power market, the target of power generating utilities has mainly switched from cost minimization to revenue maximization. they dispatch their power energy generation units in the uncertain environment of power market. as a result, multi-stage stochastic programming has been applied widely by many power generating agents as a suitable tool for dealing with self-scheduling...

The weekly cost-optimal generation of electric power in a hydrothermal generation system is modeled as a multistage mixed-integer stochastic program. The model incorporates uncertainties of electrical load forecasts, of inflows to pumped storage hydro plants and of fuel or electricity prices. For its solution a stochastic Lagrangian relaxation scheme is designed by assigning (stochastic) multip...

In this study we discuss the application of robust optimization to the problem of economic energy dispatch in smart grids. Robust optimization based MPC strategies for tackling uncertain load demands are developed. Unexpected additive disturbances are modelled by defining an affine dependence between the control inputs and the uncertain load demands. The developed strategies were applied to a h...