[HTML][HTML] Real-time optimization as a feedback control problem–a review

D Krishnamoorthy, S Skogestad - Computers & Chemical Engineering, 2022 - Elsevier
Feedback optimizing control aims to achieve asymptotic optimal operation by directly
manipulating the inputs using feedback controllers, without the need to solve numerical …

Steady-state real-time optimization using transient measurements and approximated Hammerstein dynamic model: A proof of concept in an experimental rig

P de Azevedo Delou, J Matias, J Jäschke… - Journal of Process …, 2023 - Elsevier
An attractive method for steady-state real-time optimization (RTO) using transient
measurements consists of a persistent parameter adaptation throughout a dynamic …

[HTML][HTML] A distributed feedback-based online process optimization framework for optimal resource sharing

D Krishnamoorthy - Journal of Process Control, 2021 - Elsevier
Distributed real-time optimization (RTO) enables optimal operation of large-scale process
systems with common resources shared across several clusters. Typically in distributed …

[HTML][HTML] Decentralized control using selectors for optimal steady-state operation with changing active constraints

LF Bernardino, S Skogestad - Journal of Process Control, 2024 - Elsevier
We study the optimal steady-state operation of processes where the active constraints
change. The aim of this work is to eliminate or reduce the need for a real-time optimization …

[HTML][HTML] Optimal operation of oil and gas production using simple feedback control structures

D Krishnamoorthy, K Fjalestad, S Skogestad - Control Engineering Practice, 2019 - Elsevier
The purpose of this paper is to describe the control challenges related to optimal operation
of oil and gas production wells, and show that optimal operation can be achieved using …

[HTML][HTML] Optimal measurement-based cost gradient estimate for feedback real-time optimization

LF Bernardino, S Skogestad - Computers & Chemical Engineering, 2024 - Elsevier
This work presents a simple and efficient way of estimating the steady-state cost gradient J u
based on available uncertain measurements y. The main motivation is to control J u to zero …

Steady-state real-time optimization using transient measurements in the absence of a dynamic mechanistic model: A framework of HRTO integrated with Adaptive Self …

P de Azevedo Delou, R Curvelo, MB de Souza Jr… - Journal of Process …, 2021 - Elsevier
In processes with slow dynamics or subjected to frequent disturbances, the detection of a
steady-state operation might be rare, which hinders the application of the classic RTO. To …

Online process optimization with active constraint set changes using simple control structures

D Krishnamoorthy, S Skogestad - Industrial & Engineering …, 2019 - ACS Publications
The purpose of this paper is to show that online process optimization can be achieved using
simple control structures without the need for solving numerical optimization problems …

A comparative study of linear and nonlinear optimal control of a three-tank system

S Emebu, M Kubalčík, CJ Backi, D Janáčová - ISA transactions, 2023 - Elsevier
In this work, a laboratory scaled industrial interconnected nonlinear Multi-Input| Multi-Output
(MIMO) three-tank system, was modelled to control the liquid levels. Ensuing the tradition in …

Primal–dual feedback-optimizing control with override for real-time optimization

R Dirza, S Skogestad - Journal of Process Control, 2024 - Elsevier
Primal–dual feedback-optimizing control is a simple yet powerful approach to optimally
handle active constraint changes at steady state. It is composed of two layers: Constraint …