Publications

Quintanilla P, Fuenzalida A, Navia D, Brito-Parada P (2026). From data to decisions: Bayesian modelling and global sensitivity analysis for flotation control. arXiv preprint.

Quintanilla P, Navia D, Neethling S, Brito-Parada P (2025). Centralised economic model predictive control of froth flotation banks with experimental implementation. Chemical Engineering Research and Design.

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Davis W, Quintanilla P, Yang Y, Masoudi-Soltani S (2025). Global sensitivity analysis of blue hydrogen production: A comparative study using machine learning. International Journal of Hydrogen Energy.

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Olivares B, Araya B, Quintanilla P, Navia D (2025). Saturation regulation in heap leaching: A nonlinear model predictive control approach. Minerals Engineering.

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Mancilla C, Bruna R, Quintanilla P, Navia D (2025). Dynamic real-time optimization to mitigate critical state effects in expert-controlled SAG mills. Control Engineering Practice.

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Wang Y, Del Río Chanona EA, Quintanilla P (2025). Gaussian Process Nonlinear Model Predictive Control for Online Partially Observable Systems: An Application to Froth Flotation. Industrial & Engineering Chemistry Research.

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Wang Y, Del Río Chanona A, Quintanilla P (2025). Stochastic data-driven NMPC for partially observable systems using Gaussian processes: a mineral flotation case study. 14th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS).

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Dehon V, Del Rio Chanona A, Quintanilla P (2025). Probabilistic model predictive control for mineral flotation using Gaussian processes. European Symposium on Computer-Aided Process Engineering (ESCAPE-35).

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Quintanilla P, Elhalwagy A, Duan L, Masoudi-Soltani S, Lai CS, Foroudi P, Huda MN, Nandy M (2025). Artificial intelligence and robotics in the hydrogen lifecycle: A systematic review. International Journal of Hydrogen Energy.

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Quintanilla P, Fernández F, Mancilla C, Rojas M, Navia D (2025). Digital twin with automatic disturbance detection for an expert-controlled SAG mill. Minerals Engineering.

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Quintanilla P, Navia D, Neethling S, Brito-Parada P (2024). Experimental Implementation of an Economic Model Predictive Control for Froth Flotation. Computer Aided Chemical Engineering (ESCAPE-34).

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González RA, Quintanilla P (2024). Grey-box Recursive Parameter Identification of a Nonlinear Dynamic Model for Mineral Flotation. IEEE CoDIT 2024.

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Quintanilla P, Navia D, Neethling SJ, Brito-Parada PR (2023). Evaluation of Changes in Feed Particle Size within an Economic Model Predictive Control Strategy for Froth Flotation. IFAC-PapersOnLine.

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Quintanilla P, Navia D, Neethling SJ, Brito-Parada PR (2023). Economic model predictive control for a rougher froth flotation cell using physics-based models. Minerals Engineering.

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Quintanilla P, Navia D, Moreno F, Neethling SJ, Brito-Parada PR (2023). A methodology to implement a closed-loop feedback-feedforward level control in a laboratory-scale flotation bank using peristaltic pumps. MethodsX.

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Mesa D, Quintanilla P, Reyes F (2022). Bubble Analyser — An open-source software for bubble size measurement using image analysis. Minerals Engineering.

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Quintanilla P, Neethling SJ, Mesa D, Navia D, Brito-Parada PR (2021). A dynamic flotation model for predictive control incorporating froth physics. Part II: Model calibration and validation. Minerals Engineering.

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Quintanilla P, Neethling SJ, Navia D, Brito-Parada PR (2021). A dynamic flotation model for predictive control incorporating froth physics. Part I: Model development. Minerals Engineering.

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Quintanilla P, Neethling SJ, Brito-Parada PR (2021). Development and Validation of a Dynamic Model for Flotation Predictive Control Incorporating Froth Physics. Materials Proceeding.

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Quintanilla P, Neethling SJ, Brito-Parada PR (2021). Modelling for froth flotation control: A review. Minerals Engineering.

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Navia D, Puen A, Quintanilla P, Briceño L, Bergh L (2019). On dealing with measured disturbances in the modifier adaptation method for real-time optimization. Computers & Chemical Engineering.

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Navia D, Puen A, Quintanilla P, Bergh L, Briceño L, De Prada C (2018). A Proposal to Include the Information of Disturbances in Modifier Adaptation Methodology for Real Time Optimization. Computer Aided Chemical Engineering (ESCAPE-28).

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