RISK-AWARE STOCHASTIC MPC FOR CHANCE-CONSTRAINED LINEAR SYSTEMS

This paper presents a 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 navigate the e

This study aims to analyze the implementation of fraud copyright tiki mug pentagon theory, covering pressure, opportunity, rationalization, competence, and arrogance variables on financial statement fraud using the Beneish M-score method for socially responsible companies listed in the SRI-KEHATI index of the Indonesia Stock Exchange in the period