Data-driven adaptive optimal control under model uncertainty: an application to cold atmospheric plasmas

D Rodrigues, KJ Chan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cold atmospheric plasmas (CAPs) are increasingly used for applications requiring the
processing of heat-and pressure-sensitive (bio) materials. A key challenge in model-based …

A perturbed port-Hamiltonian approach for the stabilization of homogeneous reaction systems via the control of vessel extents

TS Nguyen, CK Tan, NH Hoang, MA Hussain… - Computers & Chemical …, 2021 - Elsevier
The paper proposes a tracking-error passivity-based control scheme for the asymptotic
stabilization of homogeneous reaction systems. The approach uses the concept of vessel …

A Fourier-based control vector parameterization for the optimization of nonlinear dynamic processes with a finite terminal time

MN Pantano, MC Fernández, OA Ortiz… - Computers & Chemical …, 2020 - Elsevier
In this paper, a novel strategy for finding the optimal operation profiles for nonlinear dynamic
processes is developed. Based on the direct sequential stochastic framework for dynamic …

Multiconstrained ascent trajectory optimization using an improved particle swarm optimization method

M Lin, ZH Zhang, H Zhou, Y Shui - International Journal of …, 2021 - Wiley Online Library
This paper researches the ascent trajectory optimization problem in view of multiple
constraints that effect on the launch vehicle. First, a series of common constraints that effect …

Bioprocess feeding optimization through in silico dynamic experiments and hybrid digital models—a proof of concept

G Barberi, C Giacopuzzi, P Facco - Frontiers in Chemical Engineering, 2024 - frontiersin.org
The development of cell cultures to produce monoclonal antibodies is a multi-step, time-
consuming, and labor-intensive procedure which usually lasts several years and requires …

Tractable global solutions to chance-constrained Bayesian optimal experiment design for arbitrary prior and noise distributions

D Rodrigues, G Makrygiorgos, A Mesbah - Journal of Process Control, 2022 - Elsevier
Optimal experiment design (OED) aims to optimize the information content of experimental
observations by designing the experimental conditions. In Bayesian OED for parameter …

Flight-Path Optimization for a Hybrid-Electric Aircraft

KI Papadopoulos, CP Nasoulis… - … for Gas Turbines …, 2024 - asmedigitalcollection.asme.org
This study aims to illustrate a sequence that optimizes the flight-path trajectory for a hybrid-
electric aircraft at mission level, in addition to identifying the respective optimum power …

Efficient global solutions to single-input optimal control problems via approximation by sum-of-squares polynomials

D Rodrigues, A Mesbah - IEEE Transactions on Automatic …, 2022 - ieeexplore.ieee.org
Optimal control problems are prevalent in model-based control, state and parameter
estimation, and experimental design for complex dynamical systems. An approach for …

Flight-Path Optimization for a Hybrid-Electric Aircraft

KI Papadopoulos, CP Nasoulis… - … Expo: Power for …, 2023 - asmedigitalcollection.asme.org
This study aims to illustrate a sequence that optimizes the flight-path trajectory for a hybrid-
electric propulsion system at mission level, in addition to identifying the respective optimum …

A mesh refinement method for low‐thrust orbit transfer problems

H Zhou, Y Bai, X Wang, N Cui - Optimal Control Applications …, 2023 - Wiley Online Library
This paper researches the fuel‐optimal geocentric orbit transfer problem using a low‐thrust,
electric propulsion. First, the transfer trajectory is divided into N burn‐coast arcs via …