Machine learning & conventional approaches to process control & optimization: Industrial applications & perspectives

DB Raven, Y Chikkula, KM Patel, AH Al Ghazal… - Computers & Chemical …, 2024 - Elsevier
Abstract Technologies based on Artificial Intelligence (AI) and Machine Learning (ML)
concepts are advancing at a rapid pace. The new paradigms are challenging the status-quo …

Chaotic van der Pol Oscillator Control Algorithm Comparison

L Ribordy, T Sands - Dynamics, 2023 - mdpi.com
The damped van der Pol oscillator is a chaotic non-linear system. Small perturbations in
initial conditions may result in wildly different trajectories. Controlling, or forcing, the …

Deep reinforcement learning agents for industrial control system design

NP Lawrence - 2023 - open.library.ubc.ca
Deep reinforcement learning (RL) is an optimization-driven framework for producing control
strategies without explicit reliance on process models. Powerful new methods in RL are …

[图书][B] The development of data-driven methods for modelling and optimisation of chemical process systems

M Mowbray - 2022 - search.proquest.com
In this thesis, data driven approaches to sequential decision making problems within
process systems engineering (PSE) are developed. Specifically, the use of model-free …