Robust optimal control for a batch nonlinear enzyme-catalytic switched time-delayed process with noisy output measurements

In this paper, we consider a nonlinear switched time-delayed (NSTD) system with an unknown time-varying function describing the batch culture. The output measurements are noisy. According to the actual fermentation process, this time-varying function appears in the form of a piecewise-linear function with unknown kinetic parameters and switching times. The quantitative definition of biological robustness is given to overcome the difficulty of accurately measuring intracellular material concentrations. Our main goal is to estimate these unknown quantities by using noisy output measurements and biological robustness. This estimation problem is formulated as a robust optimal control problem (ROCP) governed by the NSTD system subject to continuous state inequality constraints. The ROCP is approximated as a sequence of nonlinear programming subproblems by using some techniques. Due to the highly complex nature of these subproblems, we propose a hybrid parallel algorithm, based on Nelder-Mead method, simulated annealing and the gradients of the constraint functions, for solving these subproblems. The paper concludes with simulation results. (C) 2021 Elsevier Ltd. All rights reserved.

Automated summary

This paper considers a nonlinear switched time-delayed (NSTD) system with an unknown time-varying function in a batch culture. The goal is to estimate unknown quantities using noisy output measurements and biological robustness. The estimation problem is formulated as a robust optimal control problem governed by the NSTD system with continuous state inequality constraints, and approximated using a sequence of nonlinear programming subproblems.