Imperial College London


Faculty of EngineeringDepartment of Chemical Engineering

Professor of Process Systems Engineering



b.chachuat Website




609Roderic Hill BuildingSouth Kensington Campus






BibTex format

author = {Marchetti, AG and Chachuat, B and Bonvin, D},
doi = {10.1016/j.jprocont.2010.06.006},
journal = {Journal of Process Control},
pages = {1027--1037},
title = {A Dual Modifier Adaptation Approach for Real-Time Optimization},
url = {},
volume = {20},
year = {2010}

RIS format (EndNote, RefMan)

AB - For good performance in practice, real-time optimization schemes need to be able to deal with the inevitable plant-model mismatch problem. Unlike the two-step schemes combining parameter estimation and optimization, the modifier-adaptation approach does not estimate the model parameters on-line. Instead, it uses information regarding the constrained variables and selected gradients to improve plant operation. The dual modifier-adaptation approach presented in this paper drives the process towards optimality, while paying attention to the accuracy of the estimated gradients. The gradients are estimated from successive operating points generated by the optimization algorithm. The novelty regards the development of an upper bound on the norm of the gradient errors, which is used as a constraint when determining the next operating point. The proposed approach is demonstrated via the numerical simulation of both an unconstrained and a constrained problem.
AU - Marchetti,AG
AU - Chachuat,B
AU - Bonvin,D
DO - 10.1016/j.jprocont.2010.06.006
EP - 1037
PY - 2010///
SP - 1027
TI - A Dual Modifier Adaptation Approach for Real-Time Optimization
T2 - Journal of Process Control
UR -
VL - 20
ER -