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 economically optimal with respect to operational cost while satisfying product purities and other ...
UNIVERSITYOFCALIFORNIALosAngelesEconomicModelPredictiveControlandNonlinearControlActuatorDynamicsAdissertationsubmittedinpartialsatisfactionoftherequirementsforthedegreeDoctorofPhilosophyinChemicalEngineeringbyHelenE.Durand2017ABSTRACTOFTHEDISSERTATIONEconomicModelPredictiveControlandNonlinearControlActuatorDynamicsbyHelenE.DurandDoctorof...
Economic Model Predictive Control of Nonlinear Process Systems Using Empirical Models Economic model predictive control (EMPC) is a feedback control technique that attempts to tightly integrate economic optimization and feedback control sinc... A Alanqar,M Ellis,PD Christofides - American Control Confer...
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 systems...
Integrated Design of Control Actuator Layer and Economic Model Predictive Control for Nonlinear Processes In the present work, an economic model predictive control (EMPC) system is designed that accounts for the dynamics of the control actuators. A combined pro... H Durand,M Ellis,PD Christofides...
In this paper, we propose the novel concept of "control storage function" and introduce upper and lower bounds to the best asymptotic average performance for nonlinear control systems based on suitable notions of dissipativity and controlled dissipativity. This allows to extend and unify the formulatio...
In this paper, a technique that integrates methods of dynamic economic optimization and real-time control by including economic model predictive control and closed-loop predictive control has been developed, using a two-layer structure. The upper layer, which consists of an economic nonlinear MPC (...
B Hu,MJ Lacerda,P Seiler - 《International Journal of Robust & Nonlinear Control》 被引量: 2发表: 2017年 Data-driven economic MPC with asymptotic stability and strong duality verification using Hankel matrix Dissipativity from measured dataEconomic model predictive controlStrong duality property2024 Els...
The paper describes a design of a Nonlinear Model Predictive Controller (NMPC). The controller is based on control sequence decomposition. It is similar to a linear MPC controller but it uses a nonlinear mathematical model of a controlled process for free response calculation. The resulting control...
Specifically, an ensemble of RNN models is developed using data from extensive open-loop simulations to capture process nonlinear dynamics in an operating region. Based on the ensemble of RNN models, an economic model predictive control scheme is proposed to integrate scheduled preventive control ...