RISK-AWARE STOCHASTIC MPC FOR CHANCE-CONSTRAINED LINEAR SYSTEMS

Risk-Aware Stochastic MPC for Chance-Constrained Linear Systems

This paper presents a Cutting Guide fully risk-aware model predictive control (MPC) framework for chance-constrained discrete-time linear control systems with process noise.Conditional value-at-risk (CVaR) as a popular coherent risk measure is incorporated in both the constraints and the cost function of the MPC framework.This allows the system to

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A hybridization of feedforward neural network and differential evolution to forecast fertilizer consumption emphasizing on selecting optimal architecture

A fertilizer marketing or producing sector has played an important role in agricultural productivity and also food security around the world for many years.However, the demand of fertilizer consumption is uncertain and difficult to be forecasted by using simple Rocker Shaft approaches.Therefore, an accuracy of future demand concerning fertilizer is

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