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In this research, the EH model with uncertainties of the loads (electricity, heating and cooling) and electricity price is introduced to optimize energy cost.
This paper presents a multi-product multi-level game-theoretic green supply chain model with uncertainties in market demand, material, and product sale price formulated in a BLPP.
To make the observer more applicable to real vehicle driving operations, a 2DOF vehicle model with uncertainties on the coefficients of tire cornering stiffness is employed.
Numerical simulations illustrate the effectiveness of the proposed estimation method for a four-dimensional AD model with uncertainties associated with unmodeled dynamics and disturbances in the inflow composition.
The proposed method uses H∞ controller to maximize the stability region of each model with uncertainties, and thus to significantly reduce the number of candidate controllers.
Then, by means of the proposed method, a Hamiltonian systems-like model with uncertainties is firstly presented, which can describe the power system dynamics on a full scale, and consequently a decentralized nonlinear robust H∞ control law is achieved by construction of a Hamiltonian function for the multimachine power system.
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Generally, the emergency facility location model with uncertainty may estimate the locations more accurately.
Here, we propose a multi-period decentralized supply chain network model with uncertainty.
The GP model is a probabilistic, nonparametric model with uncertainty predictions.
We applied the EPA PMF v5.1 model with uncertainty estimate features to the Ostrava data set.
Various ways are discussed, and tested, to obtain a more realistic limiting model, with uncertainty.
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