Flexible operation can be achieved using economic model predictive control by solving an economic dynamic optimization directly on the process controller level. The goal of the controller is to operate economic
Recent advances have been made in self-stabilizing Economic Nonlinear Model Predictive Control (eNMPC) formulation without pre-calculated setpoints, which leverages norm-based steady-state optimality conditions to enhance system robustness. To enable practical implementation, a generalized time-domain formula...
Paper tables with annotated results for End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control
EconomicModelPredictiveControlandNonlinearControlActuatorDynamics by HelenE.Durand DoctorofPhilosophyinChemicalEngineering UniversityofCalifornia,LosAngeles,2017 ProfessorPanagiotisD.Christofides,Chair Controlvalvesarethemostprevalentfinalcontrolelementinthechemicalprocessindustries. However,thebehaviorofvalves(i.e.,th...
D. Christofides, "Economic Model Predictive Control with Time-Varying Objective Function for Nonlinear Process Systems," AIChE Journal, vol. 60, no. 2, pp. 507-519, 2014.M. Ellis, P. D. Christofides, Economic model predictive control with time- varying objective function for nonlinear process...
Objective:Set up and solve the commercial fishing economic optimal control problem. Create a program to optimize and display the results.Estimated Time: 30 minutes The commercial fishing optimal control problem has an integral profit function that includes the cost of operations and the revenue from ...
EconomicModel Predictive Control of Transport-ReactionProcesses.This work focuses on the developmentof economic model predictivecontrol (EMPC) systems for transport-reaction processes describedby nonlinear parabolic partial differential equations (PDEs) and theirapplications to a non-isothermal tubular reactor ...
Aircraft upset recovery requires aggressive control actions to handle highly nonlinear aircraft dynamics and critical state and input constraints. Model predictive control is a promising approach for returning the aircraft to the nominal flight envelope, even in the presence of altered dynamics or actuator...
This analysis will then be used to formulate an approximated nonlinear economic MPC scheme, which has stability guarantees. An example will be used to illustrate the proposed technique and show its potential in terms of performance. Introduction Economic model predictive control (MPC) has recently ...
Distributed Economic Nonlinear Model Predictive Control for Flexible Electrified Biodiesel Production─Part I: Sequential Architectures 2024, Industrial and Engineering Chemistry Research A Two-Stage Variable-Horizon Economic Model Predictive Control without Terminal Constraint 2024, Proceedings of the IEEE Confere...